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[Details →](docs/en/api/01-rest-api.md#fusion-multi-model-synthesis)\n- **Image, video & speech generation** — `/v1/images/generations`, `/v1/videos/generations`, and `/v1/audio/speech` route across the providers that serve media models; images and speech also accept custom OpenAI-compatible media endpoints. Video jobs are normalized across synchronous and queued providers and return a completed MP4.\n- **Tool calling & structured outputs** — OpenAI-style `tools` round-trip across providers (plain-text tool calls are rescued into real `tool_calls`), plus `response_format`, `seed`, `logprobs`, penalties, and the rest of the sampling params passed through per provider.\n- **Smart routing, six strategies** — live per-model speed/capability/reliability scores rank your chain; automatic fallover retries the next model on 429/5xx with cooldowns and key rotation. [Routing in detail →](docs/en/architecture/00-high-level-index.md#how-it-works)\n- **Unified models & profiles** — the same model on several providers collapses into one entry with strict in-group failover; named fallback-chain profiles (a coding chain, a vision chain) switch from the dashboard or per request via `auto:<profile>`, and custom chains can be renamed in place from the chain manager.\n- **Per-key rate tracking** — RPM/RPD/TPM/TPD counters per `(platform, model, key)` that learn providers' reported ceilings, so routing always stays under every cap.\n- **Self-updating model catalog** — the router syncs a signed catalog from freellmapi.co twice a day: new models, quota changes, and provider quirk fixes land automatically. Free installs track the monthly snapshot, which each model joins 30 days after it lands in the live feed; premium routers get it same-day. [Premium →](#premium-live-catalog)\n- **Sticky sessions & context handoff** — conversations stay on one model for 30 minutes; an optional compact handoff note keeps the thread coherent when a mid-chat switch does happen. [Details →](docs/en/clients/01-agent-clients.md#context-handoff)\n- **Prompt compression (opt-in)** — a shared, fail-open request pipeline can deduplicate prompts, filter tool output, compact repeated JSON, and trim stale context before cache lookup and routing. 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[Routing in detail →](docs/en/architecture/00-high-level-index.md#how-it-works)\n- **Unified models & profiles** — the same model on several providers collapses into one entry with strict in-group failover; named fallback-chain profiles (a coding chain, a vision chain) switch from the dashboard or per request via `auto:<profile>`, and custom chains can be renamed in place from the chain manager.\n- **Per-key rate tracking** — RPM/RPD/TPM/TPD counters per `(platform, model, key)` that learn providers' reported ceilings, so routing always stays under every cap.\n- **Self-updating model catalog** — the router syncs a signed catalog from freellmapi.co twice a day: new models, quota changes, and provider quirk fixes land automatically. Free installs track the monthly snapshot, which each model joins 30 days after it lands in the live feed; premium routers get it same-day. [Premium →](#premium-live-catalog)\n- **Sticky sessions & context handoff** — conversations stay on one model for 30 minutes; an optional compact handoff note keeps the thread coherent when a mid-chat switch does happen. [Details →](docs/en/clients/01-agent-clients.md#context-handoff)\n- **Prompt compression (opt-in)** — a shared, fail-open request pipeline can deduplicate prompts, filter tool output, compact repeated JSON, and trim stale context before cache lookup and routing. [Details →](docs/en/compression/01-compression-pipeline.md)\n- **Encrypted keys, one token out** — provider keys are AES-256-GCM encrypted in SQLite and decrypted in-memory per request; your apps only ever see a single unified `freellmapi-…` bearer token.\n- **Admin dashboard & analytics** — React UI to manage keys, reorder the chain, run a playground, and read p50/p95/TTFT analytics over 24h–90d windows; login-gated, dark/light themes, [60 languages](#languages).\n- **ChatGPT-ready MCP server & interactive docs** — ChatGPT and other MCP clients can call FreeLLMAPI inference, list usable models, inspect provider health/usage/cache/routing metadata, and manage the routing strategy over `/mcp`; a dependency-free OpenAPI viewer lives at `/v1/docs`. [ChatGPT and coding agents →](docs/en/clients/01-agent-clients.md#mcp-server)\n- **Ops niceties** — opt-in response cache, encrypted DB backups, periodic key health checks, bulk key import/export, declarative startup config. [Install & deploy →](docs/en/install/01-install.md)\n- **Runs anywhere Node 20+ runs** — Windows, macOS, Linux servers, or a small ARM SBC (Raspberry Pi included). ~40 MB RSS at idle behind PM2 / systemd / whatever supervisor you prefer.\n\nThe scope is deliberately narrow — see [what's not supported yet](docs/en/architecture/00-high-level-index.md#not-yet-supported).\n","version":"bf1660454fd4e1889fe0c1b5cd10f2af6605afa0","retrievedAt":"2026-10-14T20:23:55Z"}],"version":"bf1660454fd4e1889fe0c1b5cd10f2af6605afa0","retrievedAt":"2026-10-14T20:23:55Z","claimId":"1217040185:explanation","basis":"official_documentation","evidenceStatus":"Documented"},{"key":"mechanism","text":"A local router tracks per-key quotas and applies configured fallback chains across enabled upstream model providers.","sourceUrls":["https://github.com/tashfeenahmed/freellmapi/blob/bf1660454fd4e1889fe0c1b5cd10f2af6605afa0/README.md"],"quote":"## Why this exists\n\nEvery serious AI lab now offers a free tier, a few million tokens a month, a few thousand requests a day. On its own each tier is a toy. Stacked together, they add up to roughly **7.4 billion tokens per month** of working inference capacity, across **474 model families / 635 provider endpoints** from small-and-fast to reasonably capable.\n\nThe problem is that stacking them by hand is painful: thirty-four different SDKs, thirty-four different rate limits, thirty-four places a request can fail. FreeLLMAPI collapses that into one OpenAI-compatible endpoint. Point any OpenAI client library at your local server, and it routes transparently across whichever providers you've added keys for.\n\nAnd the free-tier landscape shifts weekly: providers launch models, retire them, and change quotas without notice. FreeLLMAPI tracks all of that for you. The router pulls a signed model catalog from [freellmapi.co](https://freellmapi.co) on its own, so your install keeps up without a `git pull`. 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Platform capabilities vary; self-hosted relays require maintenance and secure configuration."}},{"id":"1061327311","fullName":"altic-dev/FluidVoice","name":"FluidVoice","url":"https://github.com/altic-dev/FluidVoice","category":"Productivity","language":{"value":"Swift","state":"retained_metadata"},"aliases":[],"capabilities":[{"claimId":"1061327311:catalog-fit","text":"Dictate into Mac apps with on-device speech recognition.","basis":"catalog_editorial","sourceUrls":["https://github.com/altic-dev/FluidVoice#readme","https://www.youtube.com/watch?v=jMAe1h39rHo&t=1125s","https://github.com/altic-dev/FluidVoice/blob/2ca292d173f0ca6ab11cfb93fb52ace83e82248e/README.md","https://github.com/altic-dev/FluidVoice/blob/2ca292d173f0ca6ab11cfb93fb52ace83e82248e/LICENSE"],"evidenceStatus":"Documented","quote":null},{"claimId":"1061327311:editorial-explanation","text":"FluidVoice inserts spoken text into the app you are using and shows a live transcription overlay. 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Pick the model that fits your language and latency needs\n- **AI Enhancement** — optional post-processing via OpenAI, Groq, custom providers, or local Fluid Intelligence for cleaner, more accurate transcripts\n- **Audio History** — optional local recording history with budget controls and ZIP export, so you can review past dictations without cloud storage\n- **Today-Usage Stats** — daily usage tracking at a glance with a stats header card and toolbar pill\n- **Adaptive Theming** — light/dark theme that follows your system, with a compact toolbar switcher\n- **Global Hotkey** — instant voice capture from anywhere, no app switching needed\n- **Hold Space to Mute** — optional temporary mute within a dictation: hold Space while thinking, then release to continue the same recording; quick taps still type spaces\n- **Smart Typing** — direct insertion into any app via accessibility APIs for reliable, app-independent text entry\n- **Menu Bar Integration** — quick access, status, and settings from the menu bar\n- **Auto-Updates** — seamless updates with an optional beta channel for early previews\n- **Per-App Configuration** — assign different prompt sets to different apps, so your dictation adapts to whatever you're working in. Fully optional\n- **Notch-Aware Overlay** — transcription overlay that fits cleanly around the MacBook notch, or use a standard overlay if your Mac doesn't have one\n- **Local-First** — your voice and text never leave your machine unless you opt in to a cloud AI provider\n- **Fastest Parakeet on Mac** — one of the fastest native implementations of Parakeet on macOS, with near-instant transcription and minimal latency\n- **Configurable Overlay** — choose from pill-shaped to large overlay sizes to show live preview, or keep it minimal. Everything is optional\n- **Everything is Optional** — AI enhancement, Fluid Intelligence, audio history, detailed analytics, and beta builds are optional. The core dictation experience works out of the box with zero configuration beyond permissions and a hotkey\n\n---\n","retainedExcerpts":[{"sourceUrl":"https://github.com/altic-dev/FluidVoice/blob/2ca292d173f0ca6ab11cfb93fb52ace83e82248e/README.md","section":"## Features","quote":"## Features\n\n- **Fluid Intelligence** — on-device AI enhancement for smart formatting, context-aware capitalization, and post-processing, all running locally on your Mac with zero data leaving your machine\n- **Command Mode** — control your Mac by voice: launch apps, run shortcuts, trigger system actions, and automate workflows without touching the keyboard\n- **Write Mode** — write or rewrite text directly in any text field across any app. Select text and rewrite it, or dictate new content inline\n- **Live Preview** — real-time transcription overlay with notch support, so you see words appear as you speak\n- **Multiple Speech Models** — Nemotron Speech 3.5, Parakeet Flash, Parakeet TDT v3 & v2, Cohere Transcribe, Apple Speech, and Whisper. Pick the model that fits your language and latency needs\n- **AI Enhancement** — optional post-processing via OpenAI, Groq, custom providers, or local Fluid Intelligence for cleaner, more accurate transcripts\n- **Audio History** — optional local recording history with budget controls and ZIP export, so you can review past dictations without cloud storage\n- **Today-Usage Stats** — daily usage tracking at a glance with a stats header card and toolbar pill\n- **Adaptive Theming** — light/dark theme that follows your system, with a compact toolbar switcher\n- **Global Hotkey** — instant voice capture from anywhere, no app switching needed\n- **Hold Space to Mute** — optional temporary mute within a dictation: hold Space while thinking, then release to continue the same recording; quick taps still type spaces\n- **Smart Typing** — direct insertion into any app via accessibility APIs for reliable, app-independent text entry\n- **Menu Bar Integration** — quick access, status, and settings from the menu bar\n- **Auto-Updates** — seamless updates with an optional beta channel for early previews\n- **Per-App Configuration** — assign different prompt sets to different apps, so your dictation adapts to whatever you're working in. Fully optional\n- **Notch-Aware Overlay** — transcription overlay that fits cleanly around the MacBook notch, or use a standard overlay if your Mac doesn't have one\n- **Local-First** — your voice and text never leave your machine unless you opt in to a cloud AI provider\n- **Fastest Parakeet on Mac** — one of the fastest native implementations of Parakeet on macOS, with near-instant transcription and minimal latency\n- **Configurable Overlay** — choose from pill-shaped to large overlay sizes to show live preview, or keep it minimal. Everything is optional\n- **Everything is Optional** — AI enhancement, Fluid Intelligence, audio history, detailed analytics, and beta builds are optional. The core dictation experience works out of the box with zero configuration beyond permissions and a hotkey\n\n---\n","version":"2ca292d173f0ca6ab11cfb93fb52ace83e82248e","retrievedAt":"2026-10-14T20:23:51Z"},{"sourceUrl":"https://github.com/altic-dev/FluidVoice/blob/2ca292d173f0ca6ab11cfb93fb52ace83e82248e/README.md","section":"## Quick Start","quote":"## Quick Start\n\n1. **Install** with Homebrew:\n   ```bash\n   brew install --cask fluidvoice\n   ```\n   Or download the [latest release](https://github.com/altic-dev/FluidVoice/releases/latest).\n\n2. **Grant permissions** — FluidVoice will ask for microphone and accessibility access. Both are required for dictation and typing into other apps.\n\n3. **Set your hotkey** — pick a global hotkey in settings that triggers voice capture from anywhere.\n\n4. **Go through onboarding** — choose your voice model based on your language and latency needs. Models range from zero-download Apple Speech to high-accuracy Nemotron and Whisper.\n\n5. **(Optional) Enable Fluid Intelligence** — download the local AI model during onboarding for on-device dictation enhancement. Everything runs locally, no data leaves your Mac.\n\n6. **(Optional) Bring your own AI provider** — add an OpenAI, Groq, or custom provider API key for cloud-based enhancement. Keys are stored securely in macOS Keychain. Select \"Always allow\" for key access.\n\n7. **(Optional) Opt in to beta builds** — `Settings → Automatic Updates → Beta Releases` for early access to new features.\n\nTo pause listening without ending a hands-free dictation, enable **Settings → Dictation → Hold Space to Mute**. Start dictation with your usual shortcut, hold Space to mute, and release it to resume. The overlay shows a muted microphone. A quick tap (up to 250 ms) types one space on release; a longer hold types nothing. Muting starts immediately in both cases. Your normal shortcut still finishes the recording. Muted audio is excluded from live transcription, the final transcript, and saved audio history. Space works normally outside dictation; modifier-plus-Space and configured Space shortcuts keep their existing behavior. The option is off by default and applies to Dictation mode.\n\n---\n","version":"2ca292d173f0ca6ab11cfb93fb52ace83e82248e","retrievedAt":"2026-10-14T20:23:51Z"}],"version":"2ca292d173f0ca6ab11cfb93fb52ace83e82248e","retrievedAt":"2026-10-14T20:23:51Z","claimId":"1061327311:title","basis":"official_documentation","evidenceStatus":"Documented"},{"key":"explanation","text":"FluidVoice inserts spoken text into the app you are using and shows a live transcription overlay. Choose a speech model for your language and hardware; optional enhancement can format or rewrite the result.","sourceUrls":["https://github.com/altic-dev/FluidVoice/blob/2ca292d173f0ca6ab11cfb93fb52ace83e82248e/README.md"],"quote":"## Features\n\n- **Fluid Intelligence** — on-device AI enhancement for smart formatting, context-aware capitalization, and post-processing, all running locally on your Mac with zero data leaving your machine\n- **Command Mode** — control your Mac by voice: launch apps, run shortcuts, trigger system actions, and automate workflows without touching the keyboard\n- **Write Mode** — write or rewrite text directly in any text field across any app. Select text and rewrite it, or dictate new content inline\n- **Live Preview** — real-time transcription overlay with notch support, so you see words appear as you speak\n- **Multiple Speech Models** — Nemotron Speech 3.5, Parakeet Flash, Parakeet TDT v3 & v2, Cohere Transcribe, Apple Speech, and Whisper. Pick the model that fits your language and latency needs\n- **AI Enhancement** — optional post-processing via OpenAI, Groq, custom providers, or local Fluid Intelligence for cleaner, more accurate transcripts\n- **Audio History** — optional local recording history with budget controls and ZIP export, so you can review past dictations without cloud storage\n- **Today-Usage Stats** — daily usage tracking at a glance with a stats header card and toolbar pill\n- **Adaptive Theming** — light/dark theme that follows your system, with a compact toolbar switcher\n- **Global Hotkey** — instant voice capture from anywhere, no app switching needed\n- **Hold Space to Mute** — optional temporary mute within a dictation: hold Space while thinking, then release to continue the same recording; quick taps still type spaces\n- **Smart Typing** — direct insertion into any app via accessibility APIs for reliable, app-independent text entry\n- **Menu Bar Integration** — quick access, status, and settings from the menu bar\n- **Auto-Updates** — seamless updates with an optional beta channel for early previews\n- **Per-App Configuration** — assign different prompt sets to different apps, so your dictation adapts to whatever you're working in. Fully optional\n- **Notch-Aware Overlay** — transcription overlay that fits cleanly around the MacBook notch, or use a standard overlay if your Mac doesn't have one\n- **Local-First** — your voice and text never leave your machine unless you opt in to a cloud AI provider\n- **Fastest Parakeet on Mac** — one of the fastest native implementations of Parakeet on macOS, with near-instant transcription and minimal latency\n- **Configurable Overlay** — choose from pill-shaped to large overlay sizes to show live preview, or keep it minimal. Everything is optional\n- **Everything is Optional** — AI enhancement, Fluid Intelligence, audio history, detailed analytics, and beta builds are optional. The core dictation experience works out of the box with zero configuration beyond permissions and a hotkey\n\n---\n","retainedExcerpts":[{"sourceUrl":"https://github.com/altic-dev/FluidVoice/blob/2ca292d173f0ca6ab11cfb93fb52ace83e82248e/README.md","section":"## Features","quote":"## Features\n\n- **Fluid Intelligence** — on-device AI enhancement for smart formatting, context-aware capitalization, and post-processing, all running locally on your Mac with zero data leaving your machine\n- **Command Mode** — control your Mac by voice: launch apps, run shortcuts, trigger system actions, and automate workflows without touching the keyboard\n- **Write Mode** — write or rewrite text directly in any text field across any app. Select text and rewrite it, or dictate new content inline\n- **Live Preview** — real-time transcription overlay with notch support, so you see words appear as you speak\n- **Multiple Speech Models** — Nemotron Speech 3.5, Parakeet Flash, Parakeet TDT v3 & v2, Cohere Transcribe, Apple Speech, and Whisper. Pick the model that fits your language and latency needs\n- **AI Enhancement** — optional post-processing via OpenAI, Groq, custom providers, or local Fluid Intelligence for cleaner, more accurate transcripts\n- **Audio History** — optional local recording history with budget controls and ZIP export, so you can review past dictations without cloud storage\n- **Today-Usage Stats** — daily usage tracking at a glance with a stats header card and toolbar pill\n- **Adaptive Theming** — light/dark theme that follows your system, with a compact toolbar switcher\n- **Global Hotkey** — instant voice capture from anywhere, no app switching needed\n- **Hold Space to Mute** — optional temporary mute within a dictation: hold Space while thinking, then release to continue the same recording; quick taps still type spaces\n- **Smart Typing** — direct insertion into any app via accessibility APIs for reliable, app-independent text entry\n- **Menu Bar Integration** — quick access, status, and settings from the menu bar\n- **Auto-Updates** — seamless updates with an optional beta channel for early previews\n- **Per-App Configuration** — assign different prompt sets to different apps, so your dictation adapts to whatever you're working in. Fully optional\n- **Notch-Aware Overlay** — transcription overlay that fits cleanly around the MacBook notch, or use a standard overlay if your Mac doesn't have one\n- **Local-First** — your voice and text never leave your machine unless you opt in to a cloud AI provider\n- **Fastest Parakeet on Mac** — one of the fastest native implementations of Parakeet on macOS, with near-instant transcription and minimal latency\n- **Configurable Overlay** — choose from pill-shaped to large overlay sizes to show live preview, or keep it minimal. Everything is optional\n- **Everything is Optional** — AI enhancement, Fluid Intelligence, audio history, detailed analytics, and beta builds are optional. The core dictation experience works out of the box with zero configuration beyond permissions and a hotkey\n\n---\n","version":"2ca292d173f0ca6ab11cfb93fb52ace83e82248e","retrievedAt":"2026-10-14T20:23:51Z"},{"sourceUrl":"https://github.com/altic-dev/FluidVoice/blob/2ca292d173f0ca6ab11cfb93fb52ace83e82248e/README.md","section":"## Quick Start","quote":"## Quick Start\n\n1. **Install** with Homebrew:\n   ```bash\n   brew install --cask fluidvoice\n   ```\n   Or download the [latest release](https://github.com/altic-dev/FluidVoice/releases/latest).\n\n2. **Grant permissions** — FluidVoice will ask for microphone and accessibility access. Both are required for dictation and typing into other apps.\n\n3. **Set your hotkey** — pick a global hotkey in settings that triggers voice capture from anywhere.\n\n4. **Go through onboarding** — choose your voice model based on your language and latency needs. Models range from zero-download Apple Speech to high-accuracy Nemotron and Whisper.\n\n5. **(Optional) Enable Fluid Intelligence** — download the local AI model during onboarding for on-device dictation enhancement. Everything runs locally, no data leaves your Mac.\n\n6. **(Optional) Bring your own AI provider** — add an OpenAI, Groq, or custom provider API key for cloud-based enhancement. Keys are stored securely in macOS Keychain. Select \"Always allow\" for key access.\n\n7. **(Optional) Opt in to beta builds** — `Settings → Automatic Updates → Beta Releases` for early access to new features.\n\nTo pause listening without ending a hands-free dictation, enable **Settings → Dictation → Hold Space to Mute**. Start dictation with your usual shortcut, hold Space to mute, and release it to resume. The overlay shows a muted microphone. A quick tap (up to 250 ms) types one space on release; a longer hold types nothing. Muting starts immediately in both cases. Your normal shortcut still finishes the recording. Muted audio is excluded from live transcription, the final transcript, and saved audio history. Space works normally outside dictation; modifier-plus-Space and configured Space shortcuts keep their existing behavior. The option is off by default and applies to Dictation mode.\n\n---\n","version":"2ca292d173f0ca6ab11cfb93fb52ace83e82248e","retrievedAt":"2026-10-14T20:23:51Z"}],"version":"2ca292d173f0ca6ab11cfb93fb52ace83e82248e","retrievedAt":"2026-10-14T20:23:51Z","claimId":"1061327311:explanation","basis":"official_documentation","evidenceStatus":"Documented"},{"key":"mechanism","text":"A global hotkey captures speech and accessibility APIs insert the transcript into the active text field.","sourceUrls":["https://github.com/altic-dev/FluidVoice/blob/2ca292d173f0ca6ab11cfb93fb52ace83e82248e/README.md"],"quote":"## Features\n\n- **Fluid Intelligence** — on-device AI enhancement for smart formatting, context-aware capitalization, and post-processing, all running locally on your Mac with zero data leaving your machine\n- **Command Mode** — control your Mac by voice: launch apps, run shortcuts, trigger system actions, and automate workflows without touching the keyboard\n- **Write Mode** — write or rewrite text directly in any text field across any app. Select text and rewrite it, or dictate new content inline\n- **Live Preview** — real-time transcription overlay with notch support, so you see words appear as you speak\n- **Multiple Speech Models** — Nemotron Speech 3.5, Parakeet Flash, Parakeet TDT v3 & v2, Cohere Transcribe, Apple Speech, and Whisper. Pick the model that fits your language and latency needs\n- **AI Enhancement** — optional post-processing via OpenAI, Groq, custom providers, or local Fluid Intelligence for cleaner, more accurate transcripts\n- **Audio History** — optional local recording history with budget controls and ZIP export, so you can review past dictations without cloud storage\n- **Today-Usage Stats** — daily usage tracking at a glance with a stats header card and toolbar pill\n- **Adaptive Theming** — light/dark theme that follows your system, with a compact toolbar switcher\n- **Global Hotkey** — instant voice capture from anywhere, no app switching needed\n- **Hold Space to Mute** — optional temporary mute within a dictation: hold Space while thinking, then release to continue the same recording; quick taps still type spaces\n- **Smart Typing** — direct insertion into any app via accessibility APIs for reliable, app-independent text entry\n- **Menu Bar Integration** — quick access, status, and settings from the menu bar\n- **Auto-Updates** — seamless updates with an optional beta channel for early previews\n- **Per-App Configuration** — assign different prompt sets to different apps, so your dictation adapts to whatever you're working in. Fully optional\n- **Notch-Aware Overlay** — transcription overlay that fits cleanly around the MacBook notch, or use a standard overlay if your Mac doesn't have one\n- **Local-First** — your voice and text never leave your machine unless you opt in to a cloud AI provider\n- **Fastest Parakeet on Mac** — one of the fastest native implementations of Parakeet on macOS, with near-instant transcription and minimal latency\n- **Configurable Overlay** — choose from pill-shaped to large overlay sizes to show live preview, or keep it minimal. Everything is optional\n- **Everything is Optional** — AI enhancement, Fluid Intelligence, audio history, detailed analytics, and beta builds are optional. The core dictation experience works out of the box with zero configuration beyond permissions and a hotkey\n\n---\n","retainedExcerpts":[{"sourceUrl":"https://github.com/altic-dev/FluidVoice/blob/2ca292d173f0ca6ab11cfb93fb52ace83e82248e/README.md","section":"## Features","quote":"## Features\n\n- **Fluid Intelligence** — on-device AI enhancement for smart formatting, context-aware capitalization, and post-processing, all running locally on your Mac with zero data leaving your machine\n- **Command Mode** — control your Mac by voice: launch apps, run shortcuts, trigger system actions, and automate workflows without touching the keyboard\n- **Write Mode** — write or rewrite text directly in any text field across any app. Select text and rewrite it, or dictate new content inline\n- **Live Preview** — real-time transcription overlay with notch support, so you see words appear as you speak\n- **Multiple Speech Models** — Nemotron Speech 3.5, Parakeet Flash, Parakeet TDT v3 & v2, Cohere Transcribe, Apple Speech, and Whisper. Pick the model that fits your language and latency needs\n- **AI Enhancement** — optional post-processing via OpenAI, Groq, custom providers, or local Fluid Intelligence for cleaner, more accurate transcripts\n- **Audio History** — optional local recording history with budget controls and ZIP export, so you can review past dictations without cloud storage\n- **Today-Usage Stats** — daily usage tracking at a glance with a stats header card and toolbar pill\n- **Adaptive Theming** — light/dark theme that follows your system, with a compact toolbar switcher\n- **Global Hotkey** — instant voice capture from anywhere, no app switching needed\n- **Hold Space to Mute** — optional temporary mute within a dictation: hold Space while thinking, then release to continue the same recording; quick taps still type spaces\n- **Smart Typing** — direct insertion into any app via accessibility APIs for reliable, app-independent text entry\n- **Menu Bar Integration** — quick access, status, and settings from the menu bar\n- **Auto-Updates** — seamless updates with an optional beta channel for early previews\n- **Per-App Configuration** — assign different prompt sets to different apps, so your dictation adapts to whatever you're working in. Fully optional\n- **Notch-Aware Overlay** — transcription overlay that fits cleanly around the MacBook notch, or use a standard overlay if your Mac doesn't have one\n- **Local-First** — your voice and text never leave your machine unless you opt in to a cloud AI provider\n- **Fastest Parakeet on Mac** — one of the fastest native implementations of Parakeet on macOS, with near-instant transcription and minimal latency\n- **Configurable Overlay** — choose from pill-shaped to large overlay sizes to show live preview, or keep it minimal. Everything is optional\n- **Everything is Optional** — AI enhancement, Fluid Intelligence, audio history, detailed analytics, and beta builds are optional. The core dictation experience works out of the box with zero configuration beyond permissions and a hotkey\n\n---\n","version":"2ca292d173f0ca6ab11cfb93fb52ace83e82248e","retrievedAt":"2026-10-14T20:23:51Z"},{"sourceUrl":"https://github.com/altic-dev/FluidVoice/blob/2ca292d173f0ca6ab11cfb93fb52ace83e82248e/README.md","section":"## Quick Start","quote":"## Quick Start\n\n1. **Install** with Homebrew:\n   ```bash\n   brew install --cask fluidvoice\n   ```\n   Or download the [latest release](https://github.com/altic-dev/FluidVoice/releases/latest).\n\n2. **Grant permissions** — FluidVoice will ask for microphone and accessibility access. Both are required for dictation and typing into other apps.\n\n3. **Set your hotkey** — pick a global hotkey in settings that triggers voice capture from anywhere.\n\n4. **Go through onboarding** — choose your voice model based on your language and latency needs. Models range from zero-download Apple Speech to high-accuracy Nemotron and Whisper.\n\n5. **(Optional) Enable Fluid Intelligence** — download the local AI model during onboarding for on-device dictation enhancement. Everything runs locally, no data leaves your Mac.\n\n6. **(Optional) Bring your own AI provider** — add an OpenAI, Groq, or custom provider API key for cloud-based enhancement. Keys are stored securely in macOS Keychain. Select \"Always allow\" for key access.\n\n7. **(Optional) Opt in to beta builds** — `Settings → Automatic Updates → Beta Releases` for early access to new features.\n\nTo pause listening without ending a hands-free dictation, enable **Settings → Dictation → Hold Space to Mute**. Start dictation with your usual shortcut, hold Space to mute, and release it to resume. The overlay shows a muted microphone. A quick tap (up to 250 ms) types one space on release; a longer hold types nothing. Muting starts immediately in both cases. Your normal shortcut still finishes the recording. Muted audio is excluded from live transcription, the final transcript, and saved audio history. Space works normally outside dictation; modifier-plus-Space and configured Space shortcuts keep their existing behavior. The option is off by default and applies to Dictation mode.\n\n---\n","version":"2ca292d173f0ca6ab11cfb93fb52ace83e82248e","retrievedAt":"2026-10-14T20:23:51Z"}],"version":"2ca292d173f0ca6ab11cfb93fb52ace83e82248e","retrievedAt":"2026-10-14T20:23:51Z","claimId":"1061327311:mechanism","basis":"official_documentation","evidenceStatus":"Documented"}],"problemsSolved":["Write into the app already in front of you by speaking."],"useCases":["Mac users drafting messages, notes or longer text"],"requirements":["GPLv3 app; requires macOS 15+, microphone and accessibility permissions, and model downloads. Apple Silicon supports the broadest engine choice; Intel uses supported Whisper models. Fluid Intelligence is a separate private runtime. Optional cloud enhancement can cost money and sends content to its provider; anonymous activity signals are sent. The latest stable release has Mac packages; Windows availability remains unclear because the repository description advertises a pre-build while the README says forthcoming.","GPLv3 app; requires macOS 15+, microphone and accessibility permissions, and model downloads. Apple Silicon supports the broadest engine choice; Intel uses supported Whisper models. Fluid Intelligence is a separate private runtime. Optional cloud enhancement can cost money and sends content to its provider; anonymous activity signals are sent. The latest stable release has Mac packages; Windows availability remains unclear because the repository description advertises a pre-build while the README says forthcoming."],"caveats":["GPLv3 app; requires macOS 15+, microphone and accessibility permissions, and model downloads. Apple Silicon supports the broadest engine choice; Intel uses supported Whisper models. Fluid Intelligence is a separate private runtime. Optional cloud enhancement can cost money and sends content to its provider; anonymous activity signals are sent. The latest stable release has Mac packages; Windows availability remains unclear because the repository description advertises a pre-build while the README says forthcoming.","GPLv3 app; requires macOS 15+, microphone and accessibility permissions, and model downloads. Apple Silicon supports the broadest engine choice; Intel uses supported Whisper models. Fluid Intelligence is a separate private runtime. Optional cloud enhancement can cost money and sends content to its provider; anonymous activity signals are sent. 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Paperclip is built around exactly those four pillars.\n\n<picture>\n  <source media=\"(prefers-color-scheme: dark)\" srcset=\"https://raw.githubusercontent.com/paperclipai/paperclip/1ec33ffd8b597f7e36aac3e2fbb4665b8c42dc3c/doc/assets/four-pillars-dark.png\">\n  <source media=\"(prefers-color-scheme: light)\" srcset=\"https://raw.githubusercontent.com/paperclipai/paperclip/1ec33ffd8b597f7e36aac3e2fbb4665b8c42dc3c/doc/assets/four-pillars-light.png\">\n  <img src=\"https://raw.githubusercontent.com/paperclipai/paperclip/1ec33ffd8b597f7e36aac3e2fbb4665b8c42dc3c/doc/assets/four-pillars-light.png\" alt=\"The four pillars of Paperclip\">\n</picture>\n\n| Pillar | Built for | What it covers |\n| --- | --- | --- |\n| **Agentic Task Manager** — Declare intent. Agents work. You verify the output. | Everyone, daily | Tasks, approvals & review gates · proactive agent coworkers · auditable routines & workflows · verify from diffs, screenshots & tests |\n| **Org Chart for Agents** — Roles, permissions & boundaries for humans and agents. | Managers | Mixed human + agent org chart · responsibilities, delegation, specialization · governance: who can do what · scoped secrets & company boundaries · connection permissions & responsible-user identities |\n| **Agent Employee Training** — Design, train & evaluate your AI employees. | Enablers | Skill Studio & shared org-wide skills · evals & saved test runs · active learning loops & quality metrics · performance reviews for agents · saved test inputs · skill version history & restore · reusable team templates |\n| **Agentic OS** — The infrastructure that makes the work run. | IT & platform | Cross-provider runtime: any model, any agent · sandboxing, integrations & MCP servers · SSO, GRC, RBAC & cost controls · data privacy, internal trace collection, compounding data value · personal & shared app connections · run history & opt-in tracing |\n\n<br/>\n","retainedExcerpts":[{"sourceUrl":"https://github.com/paperclipai/paperclip/blob/b226336762fcffc13a02e0d01cddfaa2b836cc30/README.md","section":"## The four pillars","quote":"## The four pillars\n\nFour things have to work for an organization of AI agents to actually produce: the tasks, the org, the training, and the infrastructure. Paperclip is built around exactly those four pillars.\n\n<picture>\n  <source media=\"(prefers-color-scheme: dark)\" srcset=\"https://raw.githubusercontent.com/paperclipai/paperclip/1ec33ffd8b597f7e36aac3e2fbb4665b8c42dc3c/doc/assets/four-pillars-dark.png\">\n  <source media=\"(prefers-color-scheme: light)\" srcset=\"https://raw.githubusercontent.com/paperclipai/paperclip/1ec33ffd8b597f7e36aac3e2fbb4665b8c42dc3c/doc/assets/four-pillars-light.png\">\n  <img src=\"https://raw.githubusercontent.com/paperclipai/paperclip/1ec33ffd8b597f7e36aac3e2fbb4665b8c42dc3c/doc/assets/four-pillars-light.png\" alt=\"The four pillars of Paperclip\">\n</picture>\n\n| Pillar | Built for | What it covers |\n| --- | --- | --- |\n| **Agentic Task Manager** — Declare intent. Agents work. You verify the output. | Everyone, daily | Tasks, approvals & review gates · proactive agent coworkers · auditable routines & workflows · verify from diffs, screenshots & tests |\n| **Org Chart for Agents** — Roles, permissions & boundaries for humans and agents. | Managers | Mixed human + agent org chart · responsibilities, delegation, specialization · governance: who can do what · scoped secrets & company boundaries · connection permissions & responsible-user identities |\n| **Agent Employee Training** — Design, train & evaluate your AI employees. | Enablers | Skill Studio & shared org-wide skills · evals & saved test runs · active learning loops & quality metrics · performance reviews for agents · saved test inputs · skill version history & restore · reusable team templates |\n| **Agentic OS** — The infrastructure that makes the work run. | IT & platform | Cross-provider runtime: any model, any agent · sandboxing, integrations & MCP servers · SSO, GRC, RBAC & cost controls · data privacy, internal trace collection, compounding data value · personal & shared app connections · run history & opt-in tracing |\n\n<br/>\n","version":"b226336762fcffc13a02e0d01cddfaa2b836cc30","retrievedAt":"2026-10-14T20:23:52Z"},{"sourceUrl":"https://github.com/paperclipai/paperclip/blob/b226336762fcffc13a02e0d01cddfaa2b836cc30/README.md","section":"## Features","quote":"## Features\n\n<table>\n<tr>\n<td align=\"center\" width=\"33%\">\n<h3>🔌 Bring Your Own Agent</h3>\nAny agent, any runtime, one org chart. If it can receive a heartbeat, it's hired.\n</td>\n<td align=\"center\" width=\"33%\">\n<h3>🎯 Goal Alignment</h3>\nLink tasks and projects to your organization goals. Agents receive the goal context behind their work.\n</td>\n<td align=\"center\" width=\"33%\">\n<h3>💓 Heartbeats</h3>\nAgents wake for assigned work, follow-up messages, or configured schedules. Delegation flows up and down the org chart.\n</td>\n</tr>\n<tr>\n<td align=\"center\">\n<h3>💰 Cost Control</h3>\nCompany, agent, and project <a href=\"https://docs.paperclip.ing/guides/day-to-day/costs/\">budgets</a>. Track reported spend, get threshold alerts, and pause work at configured limits.\n</td>\n<td align=\"center\">\n<h3>🏢 Multi-Organization</h3>\nOne deployment, many organizations. Separate tasks, agents, permissions, and activity histories for each.\n</td>\n<td align=\"center\">\n<h3>🎫 Task Threads</h3>\nKeep conversations, plans, blockers, files, and run history attached to the work. Assign tasks to agents or people.\n</td>\n</tr>\n<tr>\n<td align=\"center\">\n<h3>🛡️ Governance</h3>\nConfigure <a href=\"https://docs.paperclip.ing/guides/day-to-day/approvals/\">review and approval stages</a>, approve hires, and pause, reassign, or stop work when needed.\n</td>\n<td align=\"center\">\n<h3>📊 Org Chart</h3>\nHierarchies, roles, reporting lines. Your agents have a boss, a title, and a job description.\n</td>\n<td align=\"center\">\n<h3>📱 Mobile Ready</h3>\nMonitor and manage your autonomous businesses from anywhere.\n</td>\n</tr>\n<tr>\n<td align=\"center\">\n<h3>🔗 Apps & Connections</h3>\n<a href=\"https://docs.paperclip.ing/connectors/\">Connect services</a> such as GitHub, Notion, and Railway, or your own MCP server. Set gateway actions to Allowed, Ask first, or Off.\n</td>\n<td align=\"center\">\n<h3>👥 Shared Agents, Personal Accounts</h3>\nChoose <a href=\"https://docs.paperclip.ing/connectors/access-model/\">who can use a connection and which agents can access it</a>. Managed GitHub operations can use the account of the person directing the work.\n</td>\n<td align=\"center\">\n<h3>🧠 Skills & Skill Studio</h3>\nInstall or write <a href=\"https://docs.paperclip.ing/guides/org/skills/\">shared skills</a>, test them with saved inputs, inspect results, and restore earlier versions.\n</td>\n</tr>\n<tr>\n<td align=\"center\">\n<h3>📅 Scheduled Routines</h3>\nRun <a href=\"https://docs.paperclip.ing/guides/projects-workflow/routines/\">recurring work</a> on a schedule or trigger it through an API or webhook. Each run has a task, an owner, and a history.\n</td>\n<td align=\"center\">\n<h3>📎 Artifacts & Feedback</h3>\nFind the <a href=\"https://docs.paperclip.ing/guides/day-to-day/artifacts/\">files and documents agents produce</a>. Preview supported formats and leave comments on specific passages in documents.\n</td>\n<td align=\"center\">\n<h3>📦 Ready-Made Teams</h3>\nPreview and install <a href=\"https://docs.paperclip.ing/guides/org/team-catalog/\">teams</a> with roles, skills, projects, and routines. Choose their runtimes and make the setup your own.\n</td>\n</tr>\n</table>\n\nExperimental **Agent Chat** and **chat/email connectors** add conversations with agents in Paperclip and through configured services such as Slack, Discord, Telegram, and AgentMail. Enable the relevant instance settings to try them.\n\n<br/>\n","version":"b226336762fcffc13a02e0d01cddfaa2b836cc30","retrievedAt":"2026-10-14T20:23:52Z"}],"version":"b226336762fcffc13a02e0d01cddfaa2b836cc30","retrievedAt":"2026-10-14T20:23:52Z","claimId":"1170821064:title","basis":"official_documentation","evidenceStatus":"Documented"},{"key":"explanation","text":"Paperclip puts assignments, task conversations, run history and review stages in a shared management interface. Agents bring their own runtimes and models, while the manager can inspect progress and pause or reassign work.","sourceUrls":["https://github.com/paperclipai/paperclip/blob/b226336762fcffc13a02e0d01cddfaa2b836cc30/README.md"],"quote":"## The four pillars\n\nFour things have to work for an organization of AI agents to actually produce: the tasks, the org, the training, and the infrastructure. Paperclip is built around exactly those four pillars.\n\n<picture>\n  <source media=\"(prefers-color-scheme: dark)\" srcset=\"https://raw.githubusercontent.com/paperclipai/paperclip/1ec33ffd8b597f7e36aac3e2fbb4665b8c42dc3c/doc/assets/four-pillars-dark.png\">\n  <source media=\"(prefers-color-scheme: light)\" srcset=\"https://raw.githubusercontent.com/paperclipai/paperclip/1ec33ffd8b597f7e36aac3e2fbb4665b8c42dc3c/doc/assets/four-pillars-light.png\">\n  <img src=\"https://raw.githubusercontent.com/paperclipai/paperclip/1ec33ffd8b597f7e36aac3e2fbb4665b8c42dc3c/doc/assets/four-pillars-light.png\" alt=\"The four pillars of Paperclip\">\n</picture>\n\n| Pillar | Built for | What it covers |\n| --- | --- | --- |\n| **Agentic Task Manager** — Declare intent. Agents work. You verify the output. | Everyone, daily | Tasks, approvals & review gates · proactive agent coworkers · auditable routines & workflows · verify from diffs, screenshots & tests |\n| **Org Chart for Agents** — Roles, permissions & boundaries for humans and agents. | Managers | Mixed human + agent org chart · responsibilities, delegation, specialization · governance: who can do what · scoped secrets & company boundaries · connection permissions & responsible-user identities |\n| **Agent Employee Training** — Design, train & evaluate your AI employees. | Enablers | Skill Studio & shared org-wide skills · evals & saved test runs · active learning loops & quality metrics · performance reviews for agents · saved test inputs · skill version history & restore · reusable team templates |\n| **Agentic OS** — The infrastructure that makes the work run. | IT & platform | Cross-provider runtime: any model, any agent · sandboxing, integrations & MCP servers · SSO, GRC, RBAC & cost controls · data privacy, internal trace collection, compounding data value · personal & shared app connections · run history & opt-in tracing |\n\n<br/>\n","retainedExcerpts":[{"sourceUrl":"https://github.com/paperclipai/paperclip/blob/b226336762fcffc13a02e0d01cddfaa2b836cc30/README.md","section":"## The four pillars","quote":"## The four pillars\n\nFour things have to work for an organization of AI agents to actually produce: the tasks, the org, the training, and the infrastructure. Paperclip is built around exactly those four pillars.\n\n<picture>\n  <source media=\"(prefers-color-scheme: dark)\" srcset=\"https://raw.githubusercontent.com/paperclipai/paperclip/1ec33ffd8b597f7e36aac3e2fbb4665b8c42dc3c/doc/assets/four-pillars-dark.png\">\n  <source media=\"(prefers-color-scheme: light)\" srcset=\"https://raw.githubusercontent.com/paperclipai/paperclip/1ec33ffd8b597f7e36aac3e2fbb4665b8c42dc3c/doc/assets/four-pillars-light.png\">\n  <img src=\"https://raw.githubusercontent.com/paperclipai/paperclip/1ec33ffd8b597f7e36aac3e2fbb4665b8c42dc3c/doc/assets/four-pillars-light.png\" alt=\"The four pillars of Paperclip\">\n</picture>\n\n| Pillar | Built for | What it covers |\n| --- | --- | --- |\n| **Agentic Task Manager** — Declare intent. Agents work. You verify the output. | Everyone, daily | Tasks, approvals & review gates · proactive agent coworkers · auditable routines & workflows · verify from diffs, screenshots & tests |\n| **Org Chart for Agents** — Roles, permissions & boundaries for humans and agents. | Managers | Mixed human + agent org chart · responsibilities, delegation, specialization · governance: who can do what · scoped secrets & company boundaries · connection permissions & responsible-user identities |\n| **Agent Employee Training** — Design, train & evaluate your AI employees. | Enablers | Skill Studio & shared org-wide skills · evals & saved test runs · active learning loops & quality metrics · performance reviews for agents · saved test inputs · skill version history & restore · reusable team templates |\n| **Agentic OS** — The infrastructure that makes the work run. | IT & platform | Cross-provider runtime: any model, any agent · sandboxing, integrations & MCP servers · SSO, GRC, RBAC & cost controls · data privacy, internal trace collection, compounding data value · personal & shared app connections · run history & opt-in tracing |\n\n<br/>\n","version":"b226336762fcffc13a02e0d01cddfaa2b836cc30","retrievedAt":"2026-10-14T20:23:52Z"},{"sourceUrl":"https://github.com/paperclipai/paperclip/blob/b226336762fcffc13a02e0d01cddfaa2b836cc30/README.md","section":"## Features","quote":"## Features\n\n<table>\n<tr>\n<td align=\"center\" width=\"33%\">\n<h3>🔌 Bring Your Own Agent</h3>\nAny agent, any runtime, one org chart. If it can receive a heartbeat, it's hired.\n</td>\n<td align=\"center\" width=\"33%\">\n<h3>🎯 Goal Alignment</h3>\nLink tasks and projects to your organization goals. Agents receive the goal context behind their work.\n</td>\n<td align=\"center\" width=\"33%\">\n<h3>💓 Heartbeats</h3>\nAgents wake for assigned work, follow-up messages, or configured schedules. Delegation flows up and down the org chart.\n</td>\n</tr>\n<tr>\n<td align=\"center\">\n<h3>💰 Cost Control</h3>\nCompany, agent, and project <a href=\"https://docs.paperclip.ing/guides/day-to-day/costs/\">budgets</a>. Track reported spend, get threshold alerts, and pause work at configured limits.\n</td>\n<td align=\"center\">\n<h3>🏢 Multi-Organization</h3>\nOne deployment, many organizations. Separate tasks, agents, permissions, and activity histories for each.\n</td>\n<td align=\"center\">\n<h3>🎫 Task Threads</h3>\nKeep conversations, plans, blockers, files, and run history attached to the work. Assign tasks to agents or people.\n</td>\n</tr>\n<tr>\n<td align=\"center\">\n<h3>🛡️ Governance</h3>\nConfigure <a href=\"https://docs.paperclip.ing/guides/day-to-day/approvals/\">review and approval stages</a>, approve hires, and pause, reassign, or stop work when needed.\n</td>\n<td align=\"center\">\n<h3>📊 Org Chart</h3>\nHierarchies, roles, reporting lines. Your agents have a boss, a title, and a job description.\n</td>\n<td align=\"center\">\n<h3>📱 Mobile Ready</h3>\nMonitor and manage your autonomous businesses from anywhere.\n</td>\n</tr>\n<tr>\n<td align=\"center\">\n<h3>🔗 Apps & Connections</h3>\n<a href=\"https://docs.paperclip.ing/connectors/\">Connect services</a> such as GitHub, Notion, and Railway, or your own MCP server. Set gateway actions to Allowed, Ask first, or Off.\n</td>\n<td align=\"center\">\n<h3>👥 Shared Agents, Personal Accounts</h3>\nChoose <a href=\"https://docs.paperclip.ing/connectors/access-model/\">who can use a connection and which agents can access it</a>. Managed GitHub operations can use the account of the person directing the work.\n</td>\n<td align=\"center\">\n<h3>🧠 Skills & Skill Studio</h3>\nInstall or write <a href=\"https://docs.paperclip.ing/guides/org/skills/\">shared skills</a>, test them with saved inputs, inspect results, and restore earlier versions.\n</td>\n</tr>\n<tr>\n<td align=\"center\">\n<h3>📅 Scheduled Routines</h3>\nRun <a href=\"https://docs.paperclip.ing/guides/projects-workflow/routines/\">recurring work</a> on a schedule or trigger it through an API or webhook. Each run has a task, an owner, and a history.\n</td>\n<td align=\"center\">\n<h3>📎 Artifacts & Feedback</h3>\nFind the <a href=\"https://docs.paperclip.ing/guides/day-to-day/artifacts/\">files and documents agents produce</a>. Preview supported formats and leave comments on specific passages in documents.\n</td>\n<td align=\"center\">\n<h3>📦 Ready-Made Teams</h3>\nPreview and install <a href=\"https://docs.paperclip.ing/guides/org/team-catalog/\">teams</a> with roles, skills, projects, and routines. Choose their runtimes and make the setup your own.\n</td>\n</tr>\n</table>\n\nExperimental **Agent Chat** and **chat/email connectors** add conversations with agents in Paperclip and through configured services such as Slack, Discord, Telegram, and AgentMail. Enable the relevant instance settings to try them.\n\n<br/>\n","version":"b226336762fcffc13a02e0d01cddfaa2b836cc30","retrievedAt":"2026-10-14T20:23:52Z"}],"version":"b226336762fcffc13a02e0d01cddfaa2b836cc30","retrievedAt":"2026-10-14T20:23:52Z","claimId":"1170821064:explanation","basis":"official_documentation","evidenceStatus":"Documented"},{"key":"mechanism","text":"An agent org chart and heartbeat execution connect assigned tasks to goals, review stages and cost controls.","sourceUrls":["https://github.com/paperclipai/paperclip/blob/b226336762fcffc13a02e0d01cddfaa2b836cc30/README.md"],"quote":"## The four pillars\n\nFour things have to work for an organization of AI agents to actually produce: the tasks, the org, the training, and the infrastructure. Paperclip is built around exactly those four pillars.\n\n<picture>\n  <source media=\"(prefers-color-scheme: dark)\" srcset=\"https://raw.githubusercontent.com/paperclipai/paperclip/1ec33ffd8b597f7e36aac3e2fbb4665b8c42dc3c/doc/assets/four-pillars-dark.png\">\n  <source media=\"(prefers-color-scheme: light)\" srcset=\"https://raw.githubusercontent.com/paperclipai/paperclip/1ec33ffd8b597f7e36aac3e2fbb4665b8c42dc3c/doc/assets/four-pillars-light.png\">\n  <img src=\"https://raw.githubusercontent.com/paperclipai/paperclip/1ec33ffd8b597f7e36aac3e2fbb4665b8c42dc3c/doc/assets/four-pillars-light.png\" alt=\"The four pillars of Paperclip\">\n</picture>\n\n| Pillar | Built for | What it covers |\n| --- | --- | --- |\n| **Agentic Task Manager** — Declare intent. Agents work. 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Your workflow.\n\n| Create | Produce | Connect |\n| :--- | :--- | :--- |\n| Clone a voice or design your own | Dub videos with timed speech | Local API & MCP for agents |\n| Dictate with a floating widget | Stories, audiobooks & batch jobs | Reusable recipes & watch folders |\n\nStart with **VoiceStudio** (default, powered by k2-fsa/OmniVoice), or choose another engine. [Features & engine catalog](docs/feature-catalog.md).\n\nLocal workflows run on your hardware. 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Remote services are optional; usage analytics requires consent.\n\n<details>\n<summary><strong>Explore the workspaces</strong> · Clone, dub, design & models</summary>\n\n<table>\n  <tr>\n    <td><img src=\"docs/media/electron/voice-cloning.png\" alt=\"Electron voice cloning workspace with the bundled demo voice\" width=\"100%\" /></td>\n    <td><img src=\"docs/media/electron/dubbing.png\" alt=\"Electron video dubbing workspace\" width=\"100%\" /></td>\n  </tr>\n  <tr><td align=\"center\">Voice cloning</td><td align=\"center\">Video dubbing</td></tr>\n  <tr>\n    <td><img src=\"docs/media/electron/voice-design.png\" alt=\"Describe a voice in the Electron voice design workspace\" width=\"100%\" /></td>\n    <td><img src=\"docs/media/electron/models.png\" alt=\"Install and manage local speech models\" width=\"100%\" /></td>\n  </tr>\n  <tr><td align=\"center\">Voice design</td><td align=\"center\">Local models</td></tr>\n</table>\n\n<img width=\"2628\" height=\"1950\" alt=\"VoiceStudio desktop workspace\" src=\"https://github.com/user-attachments/assets/b474497d-a453-49a3-a2dd-f023ec6b7659\" />\n\n</details>\n","version":"4df5033e5a1a92e22936fb4d7d2d39e03cf10a91","retrievedAt":"2026-10-14T20:23:56Z"},{"sourceUrl":"https://github.com/debpalash/VoiceStudio/blob/4df5033e5a1a92e22936fb4d7d2d39e03cf10a91/README.md","section":"## Get started","quote":"## Get started\n\n### One-command install (macOS / Linux)\n\n```sh\n# Latest Electron release\ncurl -fsSL https://voicestudio.sh/install | sh\n\n# A specific published Electron release (replace X.Y.Z)\ncurl -fsSL https://voicestudio.sh/install | sh -s -- --version X.Y.Z\n\n# Build current main and install the desktop app\ncurl -fsSL https://voicestudio.sh/install | sh -s -- --main\n\n# Uninstall the app, keeping your data\ncurl -fsSL https://voicestudio.sh/install | sh -s -- --uninstall\n```\n\nOn Windows, run `irm https://voicestudio.sh/install | iex` in PowerShell.\nRelease downloads require curl and a SHA-256 tool. `--main` requires Git,\nNode.js 22+, Bun, Rust/Cargo, and platform build tools; see\n[installer prerequisites and behavior](docs/install/script.md).\nThe installer preserves your settings, projects, and models. Older versions\nmust contain Electron packages; it never falls back to archived Tauri builds.\n\nOr download from [Releases](https://github.com/debpalash/VoiceStudio/releases/latest) (macOS `.dmg`, Windows `.exe`, Linux `.AppImage` or `.deb`) and follow your platform guide:\n\n**[macOS](docs/install/macos.md) · [Windows](docs/install/windows.md) · [Linux](docs/install/linux.md) · [Docker](docs/install/docker.md)**\n\n| Hardware | Support |\n|---|---|\n| NVIDIA GPU (Windows / Linux) | CUDA acceleration |\n| Apple Silicon | Metal (MPS) acceleration |\n| No dedicated GPU (Intel/AMD integrated graphics, older PCs) | Fully usable on the CPU, slower; setup installs the small CPU build of PyTorch (about 5 GB free disk) |\n| Windows on ARM (Snapdragon X etc.) | **Experimental**, validation pending: native ARM64 app, x64 Python backend under emulation, CPU only |\n| Intel Mac | App UI only; connect to a remote backend ([why](docs/install/macos.md)) |\n\nOpen **Voice cloning**, choose a voice or add a clean reference recording, enter your text, and generate. Install the required model when prompted. Hardware needs vary by engine; see [performance](docs/performance.md).\n\n### Install with prompt\n\nPaste into your coding agent (Claude Code, Codex, Cursor, …):\n\n```text\nInstall the VoiceStudio Electron app on this device and verify it works, following\nhttps://github.com/debpalash/VoiceStudio/blob/main/docs/install/agent.md\n```\n\nThe [agent guide](docs/install/agent.md) covers hardware detection, reusing existing\ndata, asking before model downloads, and a test generation. Agents that support skills\ncan also run `npx skills add debpalash/VoiceStudio`.\n\n<details>\n<summary><strong>Run the Electron preview from source</strong></summary>\n\n```bash\ngit clone https://github.com/debpalash/VoiceStudio.git\ncd VoiceStudio\nbun install\nbun run setup:api  # prepare Python dependencies before starting Electron\nbun run dev\n```\n\nSee [Electron setup](electron/README.md) for prerequisites and backend configuration.\n\nUse `bun run smoke-test` to build and launch an isolated packaged Electron app.\nAdd `-- --install` for the networked managed-runtime installation check.\n\n</details>\n\n> **Electron is the only desktop app and web UI.** Version 0.5.3 was the final Tauri release. Existing Tauri users must [install Electron separately](docs/electron-migration.md). The retired Tauri shell and legacy UI entry points have been removed.\n","version":"4df5033e5a1a92e22936fb4d7d2d39e03cf10a91","retrievedAt":"2026-10-14T20:23:56Z"}],"version":"4df5033e5a1a92e22936fb4d7d2d39e03cf10a91","retrievedAt":"2026-10-14T20:23:56Z","claimId":"1206390571:title","basis":"official_documentation","evidenceStatus":"Documented"},{"key":"explanation","text":"VoiceStudio combines voice cloning, voice design, dictation, transcription and timed video dubbing in a desktop workspace. Install a suitable local engine, then reuse voices and projects for narration, audiobook or batch audio work; API and MCP access can connect an agent.","sourceUrls":["https://github.com/debpalash/VoiceStudio/blob/4df5033e5a1a92e22936fb4d7d2d39e03cf10a91/README.md"],"quote":"## Your voice. Your workflow.\n\n| Create | Produce | Connect |\n| :--- | :--- | :--- |\n| Clone a voice or design your own | Dub videos with timed speech | Local API & MCP for agents |\n| Dictate with a floating widget | Stories, audiobooks & batch jobs | Reusable recipes & watch folders |\n\nStart with **VoiceStudio** (default, powered by k2-fsa/OmniVoice), or choose another engine. [Features & engine catalog](docs/feature-catalog.md).\n\nLocal workflows run on your hardware. Remote services are optional; usage analytics requires consent.\n\n<details>\n<summary><strong>Explore the workspaces</strong> · Clone, dub, design & models</summary>\n\n<table>\n  <tr>\n    <td><img src=\"docs/media/electron/voice-cloning.png\" alt=\"Electron voice cloning workspace with the bundled demo voice\" width=\"100%\" /></td>\n    <td><img src=\"docs/media/electron/dubbing.png\" alt=\"Electron video dubbing workspace\" width=\"100%\" /></td>\n  </tr>\n  <tr><td align=\"center\">Voice cloning</td><td align=\"center\">Video dubbing</td></tr>\n  <tr>\n    <td><img src=\"docs/media/electron/voice-design.png\" alt=\"Describe a voice in the Electron voice design workspace\" width=\"100%\" /></td>\n    <td><img src=\"docs/media/electron/models.png\" alt=\"Install and manage local speech models\" width=\"100%\" /></td>\n  </tr>\n  <tr><td align=\"center\">Voice design</td><td align=\"center\">Local models</td></tr>\n</table>\n\n<img width=\"2628\" height=\"1950\" alt=\"VoiceStudio desktop workspace\" src=\"https://github.com/user-attachments/assets/b474497d-a453-49a3-a2dd-f023ec6b7659\" />\n\n</details>\n","retainedExcerpts":[{"sourceUrl":"https://github.com/debpalash/VoiceStudio/blob/4df5033e5a1a92e22936fb4d7d2d39e03cf10a91/README.md","section":"## Your voice. Your workflow.","quote":"## Your voice. Your workflow.\n\n| Create | Produce | Connect |\n| :--- | :--- | :--- |\n| Clone a voice or design your own | Dub videos with timed speech | Local API & MCP for agents |\n| Dictate with a floating widget | Stories, audiobooks & batch jobs | Reusable recipes & watch folders |\n\nStart with **VoiceStudio** (default, powered by k2-fsa/OmniVoice), or choose another engine. [Features & engine catalog](docs/feature-catalog.md).\n\nLocal workflows run on your hardware. Remote services are optional; usage analytics requires consent.\n\n<details>\n<summary><strong>Explore the workspaces</strong> · Clone, dub, design & models</summary>\n\n<table>\n  <tr>\n    <td><img src=\"docs/media/electron/voice-cloning.png\" alt=\"Electron voice cloning workspace with the bundled demo voice\" width=\"100%\" /></td>\n    <td><img src=\"docs/media/electron/dubbing.png\" alt=\"Electron video dubbing workspace\" width=\"100%\" /></td>\n  </tr>\n  <tr><td align=\"center\">Voice cloning</td><td align=\"center\">Video dubbing</td></tr>\n  <tr>\n    <td><img src=\"docs/media/electron/voice-design.png\" alt=\"Describe a voice in the Electron voice design workspace\" width=\"100%\" /></td>\n    <td><img src=\"docs/media/electron/models.png\" alt=\"Install and manage local speech models\" width=\"100%\" /></td>\n  </tr>\n  <tr><td align=\"center\">Voice design</td><td align=\"center\">Local models</td></tr>\n</table>\n\n<img width=\"2628\" height=\"1950\" alt=\"VoiceStudio desktop workspace\" src=\"https://github.com/user-attachments/assets/b474497d-a453-49a3-a2dd-f023ec6b7659\" />\n\n</details>\n","version":"4df5033e5a1a92e22936fb4d7d2d39e03cf10a91","retrievedAt":"2026-10-14T20:23:56Z"},{"sourceUrl":"https://github.com/debpalash/VoiceStudio/blob/4df5033e5a1a92e22936fb4d7d2d39e03cf10a91/README.md","section":"## Get started","quote":"## Get started\n\n### One-command install (macOS / Linux)\n\n```sh\n# Latest Electron release\ncurl -fsSL https://voicestudio.sh/install | sh\n\n# A specific published Electron release (replace X.Y.Z)\ncurl -fsSL https://voicestudio.sh/install | sh -s -- --version X.Y.Z\n\n# Build current main and install the desktop app\ncurl -fsSL https://voicestudio.sh/install | sh -s -- --main\n\n# Uninstall the app, keeping your data\ncurl -fsSL https://voicestudio.sh/install | sh -s -- --uninstall\n```\n\nOn Windows, run `irm https://voicestudio.sh/install | iex` in PowerShell.\nRelease downloads require curl and a SHA-256 tool. `--main` requires Git,\nNode.js 22+, Bun, Rust/Cargo, and platform build tools; see\n[installer prerequisites and behavior](docs/install/script.md).\nThe installer preserves your settings, projects, and models. Older versions\nmust contain Electron packages; it never falls back to archived Tauri builds.\n\nOr download from [Releases](https://github.com/debpalash/VoiceStudio/releases/latest) (macOS `.dmg`, Windows `.exe`, Linux `.AppImage` or `.deb`) and follow your platform guide:\n\n**[macOS](docs/install/macos.md) · [Windows](docs/install/windows.md) · [Linux](docs/install/linux.md) · [Docker](docs/install/docker.md)**\n\n| Hardware | Support |\n|---|---|\n| NVIDIA GPU (Windows / Linux) | CUDA acceleration |\n| Apple Silicon | Metal (MPS) acceleration |\n| No dedicated GPU (Intel/AMD integrated graphics, older PCs) | Fully usable on the CPU, slower; setup installs the small CPU build of PyTorch (about 5 GB free disk) |\n| Windows on ARM (Snapdragon X etc.) | **Experimental**, validation pending: native ARM64 app, x64 Python backend under emulation, CPU only |\n| Intel Mac | App UI only; connect to a remote backend ([why](docs/install/macos.md)) |\n\nOpen **Voice cloning**, choose a voice or add a clean reference recording, enter your text, and generate. Install the required model when prompted. Hardware needs vary by engine; see [performance](docs/performance.md).\n\n### Install with prompt\n\nPaste into your coding agent (Claude Code, Codex, Cursor, …):\n\n```text\nInstall the VoiceStudio Electron app on this device and verify it works, following\nhttps://github.com/debpalash/VoiceStudio/blob/main/docs/install/agent.md\n```\n\nThe [agent guide](docs/install/agent.md) covers hardware detection, reusing existing\ndata, asking before model downloads, and a test generation. Agents that support skills\ncan also run `npx skills add debpalash/VoiceStudio`.\n\n<details>\n<summary><strong>Run the Electron preview from source</strong></summary>\n\n```bash\ngit clone https://github.com/debpalash/VoiceStudio.git\ncd VoiceStudio\nbun install\nbun run setup:api  # prepare Python dependencies before starting Electron\nbun run dev\n```\n\nSee [Electron setup](electron/README.md) for prerequisites and backend configuration.\n\nUse `bun run smoke-test` to build and launch an isolated packaged Electron app.\nAdd `-- --install` for the networked managed-runtime installation check.\n\n</details>\n\n> **Electron is the only desktop app and web UI.** Version 0.5.3 was the final Tauri release. Existing Tauri users must [install Electron separately](docs/electron-migration.md). The retired Tauri shell and legacy UI entry points have been removed.\n","version":"4df5033e5a1a92e22936fb4d7d2d39e03cf10a91","retrievedAt":"2026-10-14T20:23:56Z"}],"version":"4df5033e5a1a92e22936fb4d7d2d39e03cf10a91","retrievedAt":"2026-10-14T20:23:56Z","claimId":"1206390571:explanation","basis":"official_documentation","evidenceStatus":"Documented"},{"key":"mechanism","text":"Downloaded speech engines run behind a shared desktop interface and local API, with optional remote services.","sourceUrls":["https://github.com/debpalash/VoiceStudio/blob/4df5033e5a1a92e22936fb4d7d2d39e03cf10a91/README.md"],"quote":"## Your voice. Your workflow.\n\n| Create | Produce | Connect |\n| :--- | :--- | :--- |\n| Clone a voice or design your own | Dub videos with timed speech | Local API & MCP for agents |\n| Dictate with a floating widget | Stories, audiobooks & batch jobs | Reusable recipes & watch folders |\n\nStart with **VoiceStudio** (default, powered by k2-fsa/OmniVoice), or choose another engine. [Features & engine catalog](docs/feature-catalog.md).\n\nLocal workflows run on your hardware. Remote services are optional; usage analytics requires consent.\n\n<details>\n<summary><strong>Explore the workspaces</strong> · Clone, dub, design & models</summary>\n\n<table>\n  <tr>\n    <td><img src=\"docs/media/electron/voice-cloning.png\" alt=\"Electron voice cloning workspace with the bundled demo voice\" width=\"100%\" /></td>\n    <td><img src=\"docs/media/electron/dubbing.png\" alt=\"Electron video dubbing workspace\" width=\"100%\" /></td>\n  </tr>\n  <tr><td align=\"center\">Voice cloning</td><td align=\"center\">Video dubbing</td></tr>\n  <tr>\n    <td><img src=\"docs/media/electron/voice-design.png\" alt=\"Describe a voice in the Electron voice design workspace\" width=\"100%\" /></td>\n    <td><img src=\"docs/media/electron/models.png\" alt=\"Install and manage local speech models\" width=\"100%\" /></td>\n  </tr>\n  <tr><td align=\"center\">Voice design</td><td align=\"center\">Local models</td></tr>\n</table>\n\n<img width=\"2628\" height=\"1950\" alt=\"VoiceStudio desktop workspace\" src=\"https://github.com/user-attachments/assets/b474497d-a453-49a3-a2dd-f023ec6b7659\" />\n\n</details>\n","retainedExcerpts":[{"sourceUrl":"https://github.com/debpalash/VoiceStudio/blob/4df5033e5a1a92e22936fb4d7d2d39e03cf10a91/README.md","section":"## Your voice. Your workflow.","quote":"## Your voice. Your workflow.\n\n| Create | Produce | Connect |\n| :--- | :--- | :--- |\n| Clone a voice or design your own | Dub videos with timed speech | Local API & MCP for agents |\n| Dictate with a floating widget | Stories, audiobooks & batch jobs | Reusable recipes & watch folders |\n\nStart with **VoiceStudio** (default, powered by k2-fsa/OmniVoice), or choose another engine. [Features & engine catalog](docs/feature-catalog.md).\n\nLocal workflows run on your hardware. Remote services are optional; usage analytics requires consent.\n\n<details>\n<summary><strong>Explore the workspaces</strong> · Clone, dub, design & models</summary>\n\n<table>\n  <tr>\n    <td><img src=\"docs/media/electron/voice-cloning.png\" alt=\"Electron voice cloning workspace with the bundled demo voice\" width=\"100%\" /></td>\n    <td><img src=\"docs/media/electron/dubbing.png\" alt=\"Electron video dubbing workspace\" width=\"100%\" /></td>\n  </tr>\n  <tr><td align=\"center\">Voice cloning</td><td align=\"center\">Video dubbing</td></tr>\n  <tr>\n    <td><img src=\"docs/media/electron/voice-design.png\" alt=\"Describe a voice in the Electron voice design workspace\" width=\"100%\" /></td>\n    <td><img src=\"docs/media/electron/models.png\" alt=\"Install and manage local speech models\" width=\"100%\" /></td>\n  </tr>\n  <tr><td align=\"center\">Voice design</td><td align=\"center\">Local models</td></tr>\n</table>\n\n<img width=\"2628\" height=\"1950\" alt=\"VoiceStudio desktop workspace\" src=\"https://github.com/user-attachments/assets/b474497d-a453-49a3-a2dd-f023ec6b7659\" />\n\n</details>\n","version":"4df5033e5a1a92e22936fb4d7d2d39e03cf10a91","retrievedAt":"2026-10-14T20:23:56Z"},{"sourceUrl":"https://github.com/debpalash/VoiceStudio/blob/4df5033e5a1a92e22936fb4d7d2d39e03cf10a91/README.md","section":"## Get started","quote":"## Get started\n\n### One-command install (macOS / Linux)\n\n```sh\n# Latest Electron release\ncurl -fsSL https://voicestudio.sh/install | sh\n\n# A specific published Electron release (replace X.Y.Z)\ncurl -fsSL https://voicestudio.sh/install | sh -s -- --version X.Y.Z\n\n# Build current main and install the desktop app\ncurl -fsSL https://voicestudio.sh/install | sh -s -- --main\n\n# Uninstall the app, keeping your data\ncurl -fsSL https://voicestudio.sh/install | sh -s -- --uninstall\n```\n\nOn Windows, run `irm https://voicestudio.sh/install | iex` in PowerShell.\nRelease downloads require curl and a SHA-256 tool. `--main` requires Git,\nNode.js 22+, Bun, Rust/Cargo, and platform build tools; see\n[installer prerequisites and behavior](docs/install/script.md).\nThe installer preserves your settings, projects, and models. Older versions\nmust contain Electron packages; it never falls back to archived Tauri builds.\n\nOr download from [Releases](https://github.com/debpalash/VoiceStudio/releases/latest) (macOS `.dmg`, Windows `.exe`, Linux `.AppImage` or `.deb`) and follow your platform guide:\n\n**[macOS](docs/install/macos.md) · [Windows](docs/install/windows.md) · [Linux](docs/install/linux.md) · [Docker](docs/install/docker.md)**\n\n| Hardware | Support |\n|---|---|\n| NVIDIA GPU (Windows / Linux) | CUDA acceleration |\n| Apple Silicon | Metal (MPS) acceleration |\n| No dedicated GPU (Intel/AMD integrated graphics, older PCs) | Fully usable on the CPU, slower; setup installs the small CPU build of PyTorch (about 5 GB free disk) |\n| Windows on ARM (Snapdragon X etc.) | **Experimental**, validation pending: native ARM64 app, x64 Python backend under emulation, CPU only |\n| Intel Mac | App UI only; connect to a remote backend ([why](docs/install/macos.md)) |\n\nOpen **Voice cloning**, choose a voice or add a clean reference recording, enter your text, and generate. Install the required model when prompted. Hardware needs vary by engine; see [performance](docs/performance.md).\n\n### Install with prompt\n\nPaste into your coding agent (Claude Code, Codex, Cursor, …):\n\n```text\nInstall the VoiceStudio Electron app on this device and verify it works, following\nhttps://github.com/debpalash/VoiceStudio/blob/main/docs/install/agent.md\n```\n\nThe [agent guide](docs/install/agent.md) covers hardware detection, reusing existing\ndata, asking before model downloads, and a test generation. Agents that support skills\ncan also run `npx skills add debpalash/VoiceStudio`.\n\n<details>\n<summary><strong>Run the Electron preview from source</strong></summary>\n\n```bash\ngit clone https://github.com/debpalash/VoiceStudio.git\ncd VoiceStudio\nbun install\nbun run setup:api  # prepare Python dependencies before starting Electron\nbun run dev\n```\n\nSee [Electron setup](electron/README.md) for prerequisites and backend configuration.\n\nUse `bun run smoke-test` to build and launch an isolated packaged Electron app.\nAdd `-- --install` for the networked managed-runtime installation check.\n\n</details>\n\n> **Electron is the only desktop app and web UI.** Version 0.5.3 was the final Tauri release. Existing Tauri users must [install Electron separately](docs/electron-migration.md). 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Runtime/model downloads and sufficient storage and compute are required; CPU operation is slower and platform support varies by engine. Clone voices with permission. Local engine support does not establish that every configured service works offline.","AGPL-3.0 app; model weights and voice/output rights have separate terms. The default OmniVoice pretrained weights are CC-BY-NC, so the app license alone does not clear commercial model use. Download the runtime and selected models; Windows guidance estimates about 10 GB of disk, with lighter CPU options. CPU is slower, Windows ARM is experimental, and Intel Mac requires a remote backend. Optional remote services and Pro features are separate. Clone voices with permission.","AGPL-3.0 application; model weights, voices and generated-output rights have separate terms. Runtime/model downloads and sufficient storage and compute are required; CPU operation is slower and platform support varies by engine. Clone voices with permission. 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Clone voices with permission.","AGPL-3.0 application; model weights, voices and generated-output rights have separate terms. Runtime/model downloads and sufficient storage and compute are required; CPU operation is slower and platform support varies by engine. Clone voices with permission. 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Configured services connect persistent text conversations, calls and Slack; optional computer services give each Dot a separate browser and files.","basis":"catalog_editorial","sourceUrls":["https://github.com/CopilotKit/OpenDots","https://github.com/CopilotKit/OpenDots#readme","https://github.com/CopilotKit/OpenDots/blob/0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a/README.md","https://github.com/CopilotKit/OpenDots/blob/0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a/LICENSE","https://github.com/CopilotKit/OpenDots/blob/0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a/docs/SETUP.md","https://github.com/copilotkit/opendots#readme"],"quote":null,"evidenceStatus":"Documented"},{"key":"title","text":"Build specialist AI coworkers around shared documents and tools","sourceUrls":["https://github.com/CopilotKit/OpenDots/blob/0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a/README.md"],"quote":"## Overview\n\nOpenDots is a starting point for building your own agent workspace. Clone it, define your Dots, connect your services, and adapt the interface and tools to your needs.\n\n**A template, not a hosted product.** You run the application and configure its infrastructure. The template is in early development; the Features section below describes what's included and distinguishes local verification from connected-service testing.\n\n### Spaces\n\nA Space is a home for working documents. Dots appear separately in navigation and can be granted access to multiple Spaces in their settings. Each Dot has a default destination for saved pages; existing installations retain their original Space access. Browse pages in a searchable library, switch between grid and list views, and organize documents as nested subpages. Open a page in a focused visual editor with formatting, slash commands, and undo/redo. Write directly, save a conversation as a page, or ask a specialist to create and revise content.\n\nPages stay in the local workspace database. Their conversations use CopilotKit Threads, with a separate conversation for each page and specialist. Page links connect the document workspace to Dot chat. Manual editing works before you configure conversation services. Autosave reports its progress, failed saves retain your draft, and revision checks prevent stale edits from overwriting newer content. Markdown source mode remains available.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/d20c3405-4339-49e7-a799-43298728015c\n\n</td></tr></table>\n\n</div>\n\n_Open a Space, navigate to its launch brief, ask Scout about the saved page, and continue in Dot chat. This recording uses live page chat and example launch content._\n\n### Specialist Dots\n\nGive each Dot a name, role, instructions, and permitted tools. A researcher can investigate a topic; a writer can turn findings into a draft. Inspect their work and control what they can do.\n\n### Dot computers\n\nEach Dot can have its own computer, using [OpenBot](https://github.com/CopilotKit/OpenBot)'s container supervisor and computer service. Its browser profile and workspace files persist across stop/start. The Computer panel exposes browser control, human takeover, files, terminal output, and activity, with browser, file, and shell permissions set per Dot. The application keeps service credentials on the server and derives a different computer credential for each Dot.\n\nSee [Computer setup](docs/COMPUTERS.md) to build the pinned services and connect your deployment. Computer tools require those services; an unconfigured template does not execute commands on your host.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/30b691c3-0f66-4964-9fdb-67d4feab5568\n\n</td></tr></table>\n\n</div>\n\n_Ask Scout to open a website, summarize it, save notes, and verify the file. Every computer action in this demo is requested through chat; CopilotKit tool renderers show the live browser, saved file, and terminal output inline._\n\n### Review before saving\n\nAsk a Dot to show a draft before saving it. A CopilotKit human-in-the-loop card pauses the conversation for **Approve & save** or **Decline**. Approval creates the page in an authorized Space and returns a link; retries with the same draft recover that saved page. A changed draft needs a new review. The agent continues after your decision.\n\n### Connections\n\nGive a Dot tools from any MCP server, such as email, calendar, GitHub, or your own services. Read-only tools run on their own. Any other tool pauses for an **Approve & run** card in chat, and only your approval runs it. You can turn each tool on or off per Dot. See [Connections](docs/CONNECTIONS.md).\n\n### Text and calls\n\nA continuous conversation keeps the Dot's avatar and status above the messages, with text and call controls close at hand. Work updates, source links, and call receipts appear in the timeline; a side panel shows results or the agent's computer.\n\nCalls pair realtime speech with a separate compute agent, so the conversation can continue while longer work runs. Both use the same conversation context and tool permissions. The call screen includes a live timer, separate user and Dot captions, microphone mute, speaker mute, and a minimized view for continuing in chat. Voice needs separate provider configuration.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/3c06cf71-39ed-4e2b-b846-5463b2722389\n\n</td></tr></table>\n\n</div>\n\n_Connect, talk, mute, minimize, and return to chat. This is a silent screen capture of a real call, with waiting time trimmed and playback accelerated._\n\n### Slack\n\nMention a Dot through a managed Slack connection using Channels SDK, then continue in its thread. The integration follows [OpenTag](https://github.com/CopilotKit/OpenTag), with an explicit workspace/user allowlist and a selected specialist. See [Slack setup](docs/SETUP.md#slack) to connect your deployment.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/27d03a6c-a9e0-4c29-8d96-fafe0fbae20f\n\n</td></tr></table>\n\n</div>\n\nBring your agents into Slack with [Channels SDK](https://github.com/CopilotKit/channels-sdk). See the [managed Channels documentation](https://docs.copilotkit.ai/intelligence/channels) to connect them through CopilotKit Intelligence.\n","retainedExcerpts":[{"sourceUrl":"https://github.com/CopilotKit/OpenDots/blob/0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a/README.md","section":"## Overview","quote":"## Overview\n\nOpenDots is a starting point for building your own agent workspace. Clone it, define your Dots, connect your services, and adapt the interface and tools to your needs.\n\n**A template, not a hosted product.** You run the application and configure its infrastructure. The template is in early development; the Features section below describes what's included and distinguishes local verification from connected-service testing.\n\n### Spaces\n\nA Space is a home for working documents. Dots appear separately in navigation and can be granted access to multiple Spaces in their settings. Each Dot has a default destination for saved pages; existing installations retain their original Space access. Browse pages in a searchable library, switch between grid and list views, and organize documents as nested subpages. Open a page in a focused visual editor with formatting, slash commands, and undo/redo. Write directly, save a conversation as a page, or ask a specialist to create and revise content.\n\nPages stay in the local workspace database. Their conversations use CopilotKit Threads, with a separate conversation for each page and specialist. Page links connect the document workspace to Dot chat. Manual editing works before you configure conversation services. Autosave reports its progress, failed saves retain your draft, and revision checks prevent stale edits from overwriting newer content. Markdown source mode remains available.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/d20c3405-4339-49e7-a799-43298728015c\n\n</td></tr></table>\n\n</div>\n\n_Open a Space, navigate to its launch brief, ask Scout about the saved page, and continue in Dot chat. This recording uses live page chat and example launch content._\n\n### Specialist Dots\n\nGive each Dot a name, role, instructions, and permitted tools. A researcher can investigate a topic; a writer can turn findings into a draft. Inspect their work and control what they can do.\n\n### Dot computers\n\nEach Dot can have its own computer, using [OpenBot](https://github.com/CopilotKit/OpenBot)'s container supervisor and computer service. Its browser profile and workspace files persist across stop/start. The Computer panel exposes browser control, human takeover, files, terminal output, and activity, with browser, file, and shell permissions set per Dot. The application keeps service credentials on the server and derives a different computer credential for each Dot.\n\nSee [Computer setup](docs/COMPUTERS.md) to build the pinned services and connect your deployment. Computer tools require those services; an unconfigured template does not execute commands on your host.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/30b691c3-0f66-4964-9fdb-67d4feab5568\n\n</td></tr></table>\n\n</div>\n\n_Ask Scout to open a website, summarize it, save notes, and verify the file. Every computer action in this demo is requested through chat; CopilotKit tool renderers show the live browser, saved file, and terminal output inline._\n\n### Review before saving\n\nAsk a Dot to show a draft before saving it. A CopilotKit human-in-the-loop card pauses the conversation for **Approve & save** or **Decline**. Approval creates the page in an authorized Space and returns a link; retries with the same draft recover that saved page. A changed draft needs a new review. The agent continues after your decision.\n\n### Connections\n\nGive a Dot tools from any MCP server, such as email, calendar, GitHub, or your own services. Read-only tools run on their own. Any other tool pauses for an **Approve & run** card in chat, and only your approval runs it. You can turn each tool on or off per Dot. See [Connections](docs/CONNECTIONS.md).\n\n### Text and calls\n\nA continuous conversation keeps the Dot's avatar and status above the messages, with text and call controls close at hand. Work updates, source links, and call receipts appear in the timeline; a side panel shows results or the agent's computer.\n\nCalls pair realtime speech with a separate compute agent, so the conversation can continue while longer work runs. Both use the same conversation context and tool permissions. The call screen includes a live timer, separate user and Dot captions, microphone mute, speaker mute, and a minimized view for continuing in chat. Voice needs separate provider configuration.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/3c06cf71-39ed-4e2b-b846-5463b2722389\n\n</td></tr></table>\n\n</div>\n\n_Connect, talk, mute, minimize, and return to chat. This is a silent screen capture of a real call, with waiting time trimmed and playback accelerated._\n\n### Slack\n\nMention a Dot through a managed Slack connection using Channels SDK, then continue in its thread. The integration follows [OpenTag](https://github.com/CopilotKit/OpenTag), with an explicit workspace/user allowlist and a selected specialist. See [Slack setup](docs/SETUP.md#slack) to connect your deployment.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/27d03a6c-a9e0-4c29-8d96-fafe0fbae20f\n\n</td></tr></table>\n\n</div>\n\nBring your agents into Slack with [Channels SDK](https://github.com/CopilotKit/channels-sdk). See the [managed Channels documentation](https://docs.copilotkit.ai/intelligence/channels) to connect them through CopilotKit Intelligence.\n","version":"0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a","retrievedAt":"2026-10-14T20:24:01Z"},{"sourceUrl":"https://github.com/CopilotKit/OpenDots/blob/0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a/README.md","section":"### Specialist Dots","quote":"### Specialist Dots\n\nGive each Dot a name, role, instructions, and permitted tools. A researcher can investigate a topic; a writer can turn findings into a draft. Inspect their work and control what they can do.\n\n### Dot computers\n\nEach Dot can have its own computer, using [OpenBot](https://github.com/CopilotKit/OpenBot)'s container supervisor and computer service. Its browser profile and workspace files persist across stop/start. The Computer panel exposes browser control, human takeover, files, terminal output, and activity, with browser, file, and shell permissions set per Dot. The application keeps service credentials on the server and derives a different computer credential for each Dot.\n\nSee [Computer setup](docs/COMPUTERS.md) to build the pinned services and connect your deployment. Computer tools require those services; an unconfigured template does not execute commands on your host.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/30b691c3-0f66-4964-9fdb-67d4feab5568\n\n</td></tr></table>\n\n</div>\n\n_Ask Scout to open a website, summarize it, save notes, and verify the file. Every computer action in this demo is requested through chat; CopilotKit tool renderers show the live browser, saved file, and terminal output inline._\n\n### Review before saving\n\nAsk a Dot to show a draft before saving it. A CopilotKit human-in-the-loop card pauses the conversation for **Approve & save** or **Decline**. Approval creates the page in an authorized Space and returns a link; retries with the same draft recover that saved page. A changed draft needs a new review. The agent continues after your decision.\n\n### Connections\n\nGive a Dot tools from any MCP server, such as email, calendar, GitHub, or your own services. Read-only tools run on their own. Any other tool pauses for an **Approve & run** card in chat, and only your approval runs it. You can turn each tool on or off per Dot. See [Connections](docs/CONNECTIONS.md).\n\n### Text and calls\n\nA continuous conversation keeps the Dot's avatar and status above the messages, with text and call controls close at hand. Work updates, source links, and call receipts appear in the timeline; a side panel shows results or the agent's computer.\n\nCalls pair realtime speech with a separate compute agent, so the conversation can continue while longer work runs. Both use the same conversation context and tool permissions. The call screen includes a live timer, separate user and Dot captions, microphone mute, speaker mute, and a minimized view for continuing in chat. Voice needs separate provider configuration.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/3c06cf71-39ed-4e2b-b846-5463b2722389\n\n</td></tr></table>\n\n</div>\n\n_Connect, talk, mute, minimize, and return to chat. This is a silent screen capture of a real call, with waiting time trimmed and playback accelerated._\n\n### Slack\n\nMention a Dot through a managed Slack connection using Channels SDK, then continue in its thread. The integration follows [OpenTag](https://github.com/CopilotKit/OpenTag), with an explicit workspace/user allowlist and a selected specialist. See [Slack setup](docs/SETUP.md#slack) to connect your deployment.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/27d03a6c-a9e0-4c29-8d96-fafe0fbae20f\n\n</td></tr></table>\n\n</div>\n\nBring your agents into Slack with [Channels SDK](https://github.com/CopilotKit/channels-sdk). See the [managed Channels documentation](https://docs.copilotkit.ai/intelligence/channels) to connect them through CopilotKit Intelligence.\n","version":"0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a","retrievedAt":"2026-10-14T20:24:01Z"},{"sourceUrl":"https://github.com/CopilotKit/OpenDots/blob/0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a/README.md","section":"### Dot computers","quote":"### Dot computers\n\nEach Dot can have its own computer, using [OpenBot](https://github.com/CopilotKit/OpenBot)'s container supervisor and computer service. Its browser profile and workspace files persist across stop/start. The Computer panel exposes browser control, human takeover, files, terminal output, and activity, with browser, file, and shell permissions set per Dot. The application keeps service credentials on the server and derives a different computer credential for each Dot.\n\nSee [Computer setup](docs/COMPUTERS.md) to build the pinned services and connect your deployment. Computer tools require those services; an unconfigured template does not execute commands on your host.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/30b691c3-0f66-4964-9fdb-67d4feab5568\n\n</td></tr></table>\n\n</div>\n\n_Ask Scout to open a website, summarize it, save notes, and verify the file. Every computer action in this demo is requested through chat; CopilotKit tool renderers show the live browser, saved file, and terminal output inline._\n\n### Review before saving\n\nAsk a Dot to show a draft before saving it. A CopilotKit human-in-the-loop card pauses the conversation for **Approve & save** or **Decline**. Approval creates the page in an authorized Space and returns a link; retries with the same draft recover that saved page. A changed draft needs a new review. The agent continues after your decision.\n\n### Connections\n\nGive a Dot tools from any MCP server, such as email, calendar, GitHub, or your own services. Read-only tools run on their own. Any other tool pauses for an **Approve & run** card in chat, and only your approval runs it. You can turn each tool on or off per Dot. See [Connections](docs/CONNECTIONS.md).\n\n### Text and calls\n\nA continuous conversation keeps the Dot's avatar and status above the messages, with text and call controls close at hand. Work updates, source links, and call receipts appear in the timeline; a side panel shows results or the agent's computer.\n\nCalls pair realtime speech with a separate compute agent, so the conversation can continue while longer work runs. Both use the same conversation context and tool permissions. The call screen includes a live timer, separate user and Dot captions, microphone mute, speaker mute, and a minimized view for continuing in chat. Voice needs separate provider configuration.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/3c06cf71-39ed-4e2b-b846-5463b2722389\n\n</td></tr></table>\n\n</div>\n\n_Connect, talk, mute, minimize, and return to chat. This is a silent screen capture of a real call, with waiting time trimmed and playback accelerated._\n\n### Slack\n\nMention a Dot through a managed Slack connection using Channels SDK, then continue in its thread. The integration follows [OpenTag](https://github.com/CopilotKit/OpenTag), with an explicit workspace/user allowlist and a selected specialist. See [Slack setup](docs/SETUP.md#slack) to connect your deployment.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/27d03a6c-a9e0-4c29-8d96-fafe0fbae20f\n\n</td></tr></table>\n\n</div>\n\nBring your agents into Slack with [Channels SDK](https://github.com/CopilotKit/channels-sdk). See the [managed Channels documentation](https://docs.copilotkit.ai/intelligence/channels) to connect them through CopilotKit Intelligence.\n","version":"0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a","retrievedAt":"2026-10-14T20:24:01Z"},{"sourceUrl":"https://github.com/CopilotKit/OpenDots/blob/0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a/README.md","section":"### Text and calls","quote":"### Text and calls\n\nA continuous conversation keeps the Dot's avatar and status above the messages, with text and call controls close at hand. Work updates, source links, and call receipts appear in the timeline; a side panel shows results or the agent's computer.\n\nCalls pair realtime speech with a separate compute agent, so the conversation can continue while longer work runs. Both use the same conversation context and tool permissions. The call screen includes a live timer, separate user and Dot captions, microphone mute, speaker mute, and a minimized view for continuing in chat. Voice needs separate provider configuration.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/3c06cf71-39ed-4e2b-b846-5463b2722389\n\n</td></tr></table>\n\n</div>\n\n_Connect, talk, mute, minimize, and return to chat. This is a silent screen capture of a real call, with waiting time trimmed and playback accelerated._\n\n### Slack\n\nMention a Dot through a managed Slack connection using Channels SDK, then continue in its thread. The integration follows [OpenTag](https://github.com/CopilotKit/OpenTag), with an explicit workspace/user allowlist and a selected specialist. See [Slack setup](docs/SETUP.md#slack) to connect your deployment.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/27d03a6c-a9e0-4c29-8d96-fafe0fbae20f\n\n</td></tr></table>\n\n</div>\n\nBring your agents into Slack with [Channels SDK](https://github.com/CopilotKit/channels-sdk). See the [managed Channels documentation](https://docs.copilotkit.ai/intelligence/channels) to connect them through CopilotKit Intelligence.\n","version":"0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a","retrievedAt":"2026-10-14T20:24:01Z"},{"sourceUrl":"https://github.com/CopilotKit/OpenDots/blob/0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a/README.md","section":"### Slack","quote":"### Slack\n\nMention a Dot through a managed Slack connection using Channels SDK, then continue in its thread. The integration follows [OpenTag](https://github.com/CopilotKit/OpenTag), with an explicit workspace/user allowlist and a selected specialist. See [Slack setup](docs/SETUP.md#slack) to connect your deployment.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/27d03a6c-a9e0-4c29-8d96-fafe0fbae20f\n\n</td></tr></table>\n\n</div>\n\nBring your agents into Slack with [Channels SDK](https://github.com/CopilotKit/channels-sdk). See the [managed Channels documentation](https://docs.copilotkit.ai/intelligence/channels) to connect them through CopilotKit Intelligence.\n","version":"0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a","retrievedAt":"2026-10-14T20:24:01Z"}],"version":"0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a","retrievedAt":"2026-10-14T20:24:01Z","claimId":"1396117711:title","basis":"official_documentation","evidenceStatus":"Documented"},{"key":"explanation","text":"OpenDots is a template for a workspace of specialist assistants with roles, permitted tools and shared document Spaces. Configured services connect persistent text conversations, calls and Slack; optional computer services give each Dot a separate browser and files.","sourceUrls":["https://github.com/CopilotKit/OpenDots/blob/0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a/README.md"],"quote":"## Overview\n\nOpenDots is a starting point for building your own agent workspace. Clone it, define your Dots, connect your services, and adapt the interface and tools to your needs.\n\n**A template, not a hosted product.** You run the application and configure its infrastructure. The template is in early development; the Features section below describes what's included and distinguishes local verification from connected-service testing.\n\n### Spaces\n\nA Space is a home for working documents. Dots appear separately in navigation and can be granted access to multiple Spaces in their settings. Each Dot has a default destination for saved pages; existing installations retain their original Space access. Browse pages in a searchable library, switch between grid and list views, and organize documents as nested subpages. Open a page in a focused visual editor with formatting, slash commands, and undo/redo. Write directly, save a conversation as a page, or ask a specialist to create and revise content.\n\nPages stay in the local workspace database. Their conversations use CopilotKit Threads, with a separate conversation for each page and specialist. Page links connect the document workspace to Dot chat. Manual editing works before you configure conversation services. Autosave reports its progress, failed saves retain your draft, and revision checks prevent stale edits from overwriting newer content. Markdown source mode remains available.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/d20c3405-4339-49e7-a799-43298728015c\n\n</td></tr></table>\n\n</div>\n\n_Open a Space, navigate to its launch brief, ask Scout about the saved page, and continue in Dot chat. This recording uses live page chat and example launch content._\n\n### Specialist Dots\n\nGive each Dot a name, role, instructions, and permitted tools. A researcher can investigate a topic; a writer can turn findings into a draft. Inspect their work and control what they can do.\n\n### Dot computers\n\nEach Dot can have its own computer, using [OpenBot](https://github.com/CopilotKit/OpenBot)'s container supervisor and computer service. Its browser profile and workspace files persist across stop/start. The Computer panel exposes browser control, human takeover, files, terminal output, and activity, with browser, file, and shell permissions set per Dot. The application keeps service credentials on the server and derives a different computer credential for each Dot.\n\nSee [Computer setup](docs/COMPUTERS.md) to build the pinned services and connect your deployment. Computer tools require those services; an unconfigured template does not execute commands on your host.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/30b691c3-0f66-4964-9fdb-67d4feab5568\n\n</td></tr></table>\n\n</div>\n\n_Ask Scout to open a website, summarize it, save notes, and verify the file. Every computer action in this demo is requested through chat; CopilotKit tool renderers show the live browser, saved file, and terminal output inline._\n\n### Review before saving\n\nAsk a Dot to show a draft before saving it. A CopilotKit human-in-the-loop card pauses the conversation for **Approve & save** or **Decline**. Approval creates the page in an authorized Space and returns a link; retries with the same draft recover that saved page. A changed draft needs a new review. The agent continues after your decision.\n\n### Connections\n\nGive a Dot tools from any MCP server, such as email, calendar, GitHub, or your own services. Read-only tools run on their own. Any other tool pauses for an **Approve & run** card in chat, and only your approval runs it. You can turn each tool on or off per Dot. See [Connections](docs/CONNECTIONS.md).\n\n### Text and calls\n\nA continuous conversation keeps the Dot's avatar and status above the messages, with text and call controls close at hand. Work updates, source links, and call receipts appear in the timeline; a side panel shows results or the agent's computer.\n\nCalls pair realtime speech with a separate compute agent, so the conversation can continue while longer work runs. Both use the same conversation context and tool permissions. The call screen includes a live timer, separate user and Dot captions, microphone mute, speaker mute, and a minimized view for continuing in chat. Voice needs separate provider configuration.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/3c06cf71-39ed-4e2b-b846-5463b2722389\n\n</td></tr></table>\n\n</div>\n\n_Connect, talk, mute, minimize, and return to chat. This is a silent screen capture of a real call, with waiting time trimmed and playback accelerated._\n\n### Slack\n\nMention a Dot through a managed Slack connection using Channels SDK, then continue in its thread. The integration follows [OpenTag](https://github.com/CopilotKit/OpenTag), with an explicit workspace/user allowlist and a selected specialist. See [Slack setup](docs/SETUP.md#slack) to connect your deployment.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/27d03a6c-a9e0-4c29-8d96-fafe0fbae20f\n\n</td></tr></table>\n\n</div>\n\nBring your agents into Slack with [Channels SDK](https://github.com/CopilotKit/channels-sdk). See the [managed Channels documentation](https://docs.copilotkit.ai/intelligence/channels) to connect them through CopilotKit Intelligence.\n","retainedExcerpts":[{"sourceUrl":"https://github.com/CopilotKit/OpenDots/blob/0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a/README.md","section":"## Overview","quote":"## Overview\n\nOpenDots is a starting point for building your own agent workspace. Clone it, define your Dots, connect your services, and adapt the interface and tools to your needs.\n\n**A template, not a hosted product.** You run the application and configure its infrastructure. The template is in early development; the Features section below describes what's included and distinguishes local verification from connected-service testing.\n\n### Spaces\n\nA Space is a home for working documents. Dots appear separately in navigation and can be granted access to multiple Spaces in their settings. Each Dot has a default destination for saved pages; existing installations retain their original Space access. Browse pages in a searchable library, switch between grid and list views, and organize documents as nested subpages. Open a page in a focused visual editor with formatting, slash commands, and undo/redo. Write directly, save a conversation as a page, or ask a specialist to create and revise content.\n\nPages stay in the local workspace database. Their conversations use CopilotKit Threads, with a separate conversation for each page and specialist. Page links connect the document workspace to Dot chat. Manual editing works before you configure conversation services. Autosave reports its progress, failed saves retain your draft, and revision checks prevent stale edits from overwriting newer content. Markdown source mode remains available.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/d20c3405-4339-49e7-a799-43298728015c\n\n</td></tr></table>\n\n</div>\n\n_Open a Space, navigate to its launch brief, ask Scout about the saved page, and continue in Dot chat. This recording uses live page chat and example launch content._\n\n### Specialist Dots\n\nGive each Dot a name, role, instructions, and permitted tools. A researcher can investigate a topic; a writer can turn findings into a draft. Inspect their work and control what they can do.\n\n### Dot computers\n\nEach Dot can have its own computer, using [OpenBot](https://github.com/CopilotKit/OpenBot)'s container supervisor and computer service. Its browser profile and workspace files persist across stop/start. The Computer panel exposes browser control, human takeover, files, terminal output, and activity, with browser, file, and shell permissions set per Dot. The application keeps service credentials on the server and derives a different computer credential for each Dot.\n\nSee [Computer setup](docs/COMPUTERS.md) to build the pinned services and connect your deployment. Computer tools require those services; an unconfigured template does not execute commands on your host.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/30b691c3-0f66-4964-9fdb-67d4feab5568\n\n</td></tr></table>\n\n</div>\n\n_Ask Scout to open a website, summarize it, save notes, and verify the file. Every computer action in this demo is requested through chat; CopilotKit tool renderers show the live browser, saved file, and terminal output inline._\n\n### Review before saving\n\nAsk a Dot to show a draft before saving it. A CopilotKit human-in-the-loop card pauses the conversation for **Approve & save** or **Decline**. Approval creates the page in an authorized Space and returns a link; retries with the same draft recover that saved page. A changed draft needs a new review. The agent continues after your decision.\n\n### Connections\n\nGive a Dot tools from any MCP server, such as email, calendar, GitHub, or your own services. Read-only tools run on their own. Any other tool pauses for an **Approve & run** card in chat, and only your approval runs it. You can turn each tool on or off per Dot. See [Connections](docs/CONNECTIONS.md).\n\n### Text and calls\n\nA continuous conversation keeps the Dot's avatar and status above the messages, with text and call controls close at hand. Work updates, source links, and call receipts appear in the timeline; a side panel shows results or the agent's computer.\n\nCalls pair realtime speech with a separate compute agent, so the conversation can continue while longer work runs. Both use the same conversation context and tool permissions. The call screen includes a live timer, separate user and Dot captions, microphone mute, speaker mute, and a minimized view for continuing in chat. Voice needs separate provider configuration.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/3c06cf71-39ed-4e2b-b846-5463b2722389\n\n</td></tr></table>\n\n</div>\n\n_Connect, talk, mute, minimize, and return to chat. This is a silent screen capture of a real call, with waiting time trimmed and playback accelerated._\n\n### Slack\n\nMention a Dot through a managed Slack connection using Channels SDK, then continue in its thread. The integration follows [OpenTag](https://github.com/CopilotKit/OpenTag), with an explicit workspace/user allowlist and a selected specialist. See [Slack setup](docs/SETUP.md#slack) to connect your deployment.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/27d03a6c-a9e0-4c29-8d96-fafe0fbae20f\n\n</td></tr></table>\n\n</div>\n\nBring your agents into Slack with [Channels SDK](https://github.com/CopilotKit/channels-sdk). See the [managed Channels documentation](https://docs.copilotkit.ai/intelligence/channels) to connect them through CopilotKit Intelligence.\n","version":"0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a","retrievedAt":"2026-10-14T20:24:01Z"},{"sourceUrl":"https://github.com/CopilotKit/OpenDots/blob/0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a/README.md","section":"### Specialist Dots","quote":"### Specialist Dots\n\nGive each Dot a name, role, instructions, and permitted tools. A researcher can investigate a topic; a writer can turn findings into a draft. Inspect their work and control what they can do.\n\n### Dot computers\n\nEach Dot can have its own computer, using [OpenBot](https://github.com/CopilotKit/OpenBot)'s container supervisor and computer service. Its browser profile and workspace files persist across stop/start. The Computer panel exposes browser control, human takeover, files, terminal output, and activity, with browser, file, and shell permissions set per Dot. The application keeps service credentials on the server and derives a different computer credential for each Dot.\n\nSee [Computer setup](docs/COMPUTERS.md) to build the pinned services and connect your deployment. Computer tools require those services; an unconfigured template does not execute commands on your host.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/30b691c3-0f66-4964-9fdb-67d4feab5568\n\n</td></tr></table>\n\n</div>\n\n_Ask Scout to open a website, summarize it, save notes, and verify the file. Every computer action in this demo is requested through chat; CopilotKit tool renderers show the live browser, saved file, and terminal output inline._\n\n### Review before saving\n\nAsk a Dot to show a draft before saving it. A CopilotKit human-in-the-loop card pauses the conversation for **Approve & save** or **Decline**. Approval creates the page in an authorized Space and returns a link; retries with the same draft recover that saved page. A changed draft needs a new review. The agent continues after your decision.\n\n### Connections\n\nGive a Dot tools from any MCP server, such as email, calendar, GitHub, or your own services. Read-only tools run on their own. Any other tool pauses for an **Approve & run** card in chat, and only your approval runs it. You can turn each tool on or off per Dot. See [Connections](docs/CONNECTIONS.md).\n\n### Text and calls\n\nA continuous conversation keeps the Dot's avatar and status above the messages, with text and call controls close at hand. Work updates, source links, and call receipts appear in the timeline; a side panel shows results or the agent's computer.\n\nCalls pair realtime speech with a separate compute agent, so the conversation can continue while longer work runs. Both use the same conversation context and tool permissions. The call screen includes a live timer, separate user and Dot captions, microphone mute, speaker mute, and a minimized view for continuing in chat. Voice needs separate provider configuration.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/3c06cf71-39ed-4e2b-b846-5463b2722389\n\n</td></tr></table>\n\n</div>\n\n_Connect, talk, mute, minimize, and return to chat. This is a silent screen capture of a real call, with waiting time trimmed and playback accelerated._\n\n### Slack\n\nMention a Dot through a managed Slack connection using Channels SDK, then continue in its thread. The integration follows [OpenTag](https://github.com/CopilotKit/OpenTag), with an explicit workspace/user allowlist and a selected specialist. See [Slack setup](docs/SETUP.md#slack) to connect your deployment.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/27d03a6c-a9e0-4c29-8d96-fafe0fbae20f\n\n</td></tr></table>\n\n</div>\n\nBring your agents into Slack with [Channels SDK](https://github.com/CopilotKit/channels-sdk). See the [managed Channels documentation](https://docs.copilotkit.ai/intelligence/channels) to connect them through CopilotKit Intelligence.\n","version":"0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a","retrievedAt":"2026-10-14T20:24:01Z"},{"sourceUrl":"https://github.com/CopilotKit/OpenDots/blob/0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a/README.md","section":"### Dot computers","quote":"### Dot computers\n\nEach Dot can have its own computer, using [OpenBot](https://github.com/CopilotKit/OpenBot)'s container supervisor and computer service. Its browser profile and workspace files persist across stop/start. The Computer panel exposes browser control, human takeover, files, terminal output, and activity, with browser, file, and shell permissions set per Dot. The application keeps service credentials on the server and derives a different computer credential for each Dot.\n\nSee [Computer setup](docs/COMPUTERS.md) to build the pinned services and connect your deployment. Computer tools require those services; an unconfigured template does not execute commands on your host.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/30b691c3-0f66-4964-9fdb-67d4feab5568\n\n</td></tr></table>\n\n</div>\n\n_Ask Scout to open a website, summarize it, save notes, and verify the file. Every computer action in this demo is requested through chat; CopilotKit tool renderers show the live browser, saved file, and terminal output inline._\n\n### Review before saving\n\nAsk a Dot to show a draft before saving it. A CopilotKit human-in-the-loop card pauses the conversation for **Approve & save** or **Decline**. Approval creates the page in an authorized Space and returns a link; retries with the same draft recover that saved page. A changed draft needs a new review. The agent continues after your decision.\n\n### Connections\n\nGive a Dot tools from any MCP server, such as email, calendar, GitHub, or your own services. Read-only tools run on their own. Any other tool pauses for an **Approve & run** card in chat, and only your approval runs it. You can turn each tool on or off per Dot. See [Connections](docs/CONNECTIONS.md).\n\n### Text and calls\n\nA continuous conversation keeps the Dot's avatar and status above the messages, with text and call controls close at hand. Work updates, source links, and call receipts appear in the timeline; a side panel shows results or the agent's computer.\n\nCalls pair realtime speech with a separate compute agent, so the conversation can continue while longer work runs. Both use the same conversation context and tool permissions. The call screen includes a live timer, separate user and Dot captions, microphone mute, speaker mute, and a minimized view for continuing in chat. Voice needs separate provider configuration.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/3c06cf71-39ed-4e2b-b846-5463b2722389\n\n</td></tr></table>\n\n</div>\n\n_Connect, talk, mute, minimize, and return to chat. This is a silent screen capture of a real call, with waiting time trimmed and playback accelerated._\n\n### Slack\n\nMention a Dot through a managed Slack connection using Channels SDK, then continue in its thread. The integration follows [OpenTag](https://github.com/CopilotKit/OpenTag), with an explicit workspace/user allowlist and a selected specialist. See [Slack setup](docs/SETUP.md#slack) to connect your deployment.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/27d03a6c-a9e0-4c29-8d96-fafe0fbae20f\n\n</td></tr></table>\n\n</div>\n\nBring your agents into Slack with [Channels SDK](https://github.com/CopilotKit/channels-sdk). See the [managed Channels documentation](https://docs.copilotkit.ai/intelligence/channels) to connect them through CopilotKit Intelligence.\n","version":"0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a","retrievedAt":"2026-10-14T20:24:01Z"},{"sourceUrl":"https://github.com/CopilotKit/OpenDots/blob/0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a/README.md","section":"### Text and calls","quote":"### Text and calls\n\nA continuous conversation keeps the Dot's avatar and status above the messages, with text and call controls close at hand. Work updates, source links, and call receipts appear in the timeline; a side panel shows results or the agent's computer.\n\nCalls pair realtime speech with a separate compute agent, so the conversation can continue while longer work runs. Both use the same conversation context and tool permissions. The call screen includes a live timer, separate user and Dot captions, microphone mute, speaker mute, and a minimized view for continuing in chat. Voice needs separate provider configuration.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/3c06cf71-39ed-4e2b-b846-5463b2722389\n\n</td></tr></table>\n\n</div>\n\n_Connect, talk, mute, minimize, and return to chat. This is a silent screen capture of a real call, with waiting time trimmed and playback accelerated._\n\n### Slack\n\nMention a Dot through a managed Slack connection using Channels SDK, then continue in its thread. The integration follows [OpenTag](https://github.com/CopilotKit/OpenTag), with an explicit workspace/user allowlist and a selected specialist. See [Slack setup](docs/SETUP.md#slack) to connect your deployment.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/27d03a6c-a9e0-4c29-8d96-fafe0fbae20f\n\n</td></tr></table>\n\n</div>\n\nBring your agents into Slack with [Channels SDK](https://github.com/CopilotKit/channels-sdk). See the [managed Channels documentation](https://docs.copilotkit.ai/intelligence/channels) to connect them through CopilotKit Intelligence.\n","version":"0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a","retrievedAt":"2026-10-14T20:24:01Z"},{"sourceUrl":"https://github.com/CopilotKit/OpenDots/blob/0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a/README.md","section":"### Slack","quote":"### Slack\n\nMention a Dot through a managed Slack connection using Channels SDK, then continue in its thread. The integration follows [OpenTag](https://github.com/CopilotKit/OpenTag), with an explicit workspace/user allowlist and a selected specialist. See [Slack setup](docs/SETUP.md#slack) to connect your deployment.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/27d03a6c-a9e0-4c29-8d96-fafe0fbae20f\n\n</td></tr></table>\n\n</div>\n\nBring your agents into Slack with [Channels SDK](https://github.com/CopilotKit/channels-sdk). See the [managed Channels documentation](https://docs.copilotkit.ai/intelligence/channels) to connect them through CopilotKit Intelligence.\n","version":"0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a","retrievedAt":"2026-10-14T20:24:01Z"}],"version":"0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a","retrievedAt":"2026-10-14T20:24:01Z","claimId":"1396117711:explanation","basis":"official_documentation","evidenceStatus":"Documented"},{"key":"mechanism","text":"A React/Node template stores workspace pages in SQLite and connects conversations to CopilotKit Intelligence, model providers and optional computer services.","sourceUrls":["https://github.com/CopilotKit/OpenDots/blob/0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a/README.md"],"quote":"## Overview\n\nOpenDots is a starting point for building your own agent workspace. Clone it, define your Dots, connect your services, and adapt the interface and tools to your needs.\n\n**A template, not a hosted product.** You run the application and configure its infrastructure. The template is in early development; the Features section below describes what's included and distinguishes local verification from connected-service testing.\n\n### Spaces\n\nA Space is a home for working documents. Dots appear separately in navigation and can be granted access to multiple Spaces in their settings. Each Dot has a default destination for saved pages; existing installations retain their original Space access. Browse pages in a searchable library, switch between grid and list views, and organize documents as nested subpages. Open a page in a focused visual editor with formatting, slash commands, and undo/redo. Write directly, save a conversation as a page, or ask a specialist to create and revise content.\n\nPages stay in the local workspace database. Their conversations use CopilotKit Threads, with a separate conversation for each page and specialist. Page links connect the document workspace to Dot chat. Manual editing works before you configure conversation services. Autosave reports its progress, failed saves retain your draft, and revision checks prevent stale edits from overwriting newer content. Markdown source mode remains available.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/d20c3405-4339-49e7-a799-43298728015c\n\n</td></tr></table>\n\n</div>\n\n_Open a Space, navigate to its launch brief, ask Scout about the saved page, and continue in Dot chat. This recording uses live page chat and example launch content._\n\n### Specialist Dots\n\nGive each Dot a name, role, instructions, and permitted tools. A researcher can investigate a topic; a writer can turn findings into a draft. Inspect their work and control what they can do.\n\n### Dot computers\n\nEach Dot can have its own computer, using [OpenBot](https://github.com/CopilotKit/OpenBot)'s container supervisor and computer service. Its browser profile and workspace files persist across stop/start. The Computer panel exposes browser control, human takeover, files, terminal output, and activity, with browser, file, and shell permissions set per Dot. The application keeps service credentials on the server and derives a different computer credential for each Dot.\n\nSee [Computer setup](docs/COMPUTERS.md) to build the pinned services and connect your deployment. Computer tools require those services; an unconfigured template does not execute commands on your host.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/30b691c3-0f66-4964-9fdb-67d4feab5568\n\n</td></tr></table>\n\n</div>\n\n_Ask Scout to open a website, summarize it, save notes, and verify the file. Every computer action in this demo is requested through chat; CopilotKit tool renderers show the live browser, saved file, and terminal output inline._\n\n### Review before saving\n\nAsk a Dot to show a draft before saving it. A CopilotKit human-in-the-loop card pauses the conversation for **Approve & save** or **Decline**. Approval creates the page in an authorized Space and returns a link; retries with the same draft recover that saved page. A changed draft needs a new review. The agent continues after your decision.\n\n### Connections\n\nGive a Dot tools from any MCP server, such as email, calendar, GitHub, or your own services. Read-only tools run on their own. Any other tool pauses for an **Approve & run** card in chat, and only your approval runs it. You can turn each tool on or off per Dot. See [Connections](docs/CONNECTIONS.md).\n\n### Text and calls\n\nA continuous conversation keeps the Dot's avatar and status above the messages, with text and call controls close at hand. Work updates, source links, and call receipts appear in the timeline; a side panel shows results or the agent's computer.\n\nCalls pair realtime speech with a separate compute agent, so the conversation can continue while longer work runs. Both use the same conversation context and tool permissions. The call screen includes a live timer, separate user and Dot captions, microphone mute, speaker mute, and a minimized view for continuing in chat. Voice needs separate provider configuration.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/3c06cf71-39ed-4e2b-b846-5463b2722389\n\n</td></tr></table>\n\n</div>\n\n_Connect, talk, mute, minimize, and return to chat. This is a silent screen capture of a real call, with waiting time trimmed and playback accelerated._\n\n### Slack\n\nMention a Dot through a managed Slack connection using Channels SDK, then continue in its thread. The integration follows [OpenTag](https://github.com/CopilotKit/OpenTag), with an explicit workspace/user allowlist and a selected specialist. See [Slack setup](docs/SETUP.md#slack) to connect your deployment.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/27d03a6c-a9e0-4c29-8d96-fafe0fbae20f\n\n</td></tr></table>\n\n</div>\n\nBring your agents into Slack with [Channels SDK](https://github.com/CopilotKit/channels-sdk). See the [managed Channels documentation](https://docs.copilotkit.ai/intelligence/channels) to connect them through CopilotKit Intelligence.\n","retainedExcerpts":[{"sourceUrl":"https://github.com/CopilotKit/OpenDots/blob/0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a/README.md","section":"## Overview","quote":"## Overview\n\nOpenDots is a starting point for building your own agent workspace. Clone it, define your Dots, connect your services, and adapt the interface and tools to your needs.\n\n**A template, not a hosted product.** You run the application and configure its infrastructure. The template is in early development; the Features section below describes what's included and distinguishes local verification from connected-service testing.\n\n### Spaces\n\nA Space is a home for working documents. Dots appear separately in navigation and can be granted access to multiple Spaces in their settings. Each Dot has a default destination for saved pages; existing installations retain their original Space access. Browse pages in a searchable library, switch between grid and list views, and organize documents as nested subpages. Open a page in a focused visual editor with formatting, slash commands, and undo/redo. Write directly, save a conversation as a page, or ask a specialist to create and revise content.\n\nPages stay in the local workspace database. Their conversations use CopilotKit Threads, with a separate conversation for each page and specialist. Page links connect the document workspace to Dot chat. Manual editing works before you configure conversation services. Autosave reports its progress, failed saves retain your draft, and revision checks prevent stale edits from overwriting newer content. Markdown source mode remains available.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/d20c3405-4339-49e7-a799-43298728015c\n\n</td></tr></table>\n\n</div>\n\n_Open a Space, navigate to its launch brief, ask Scout about the saved page, and continue in Dot chat. This recording uses live page chat and example launch content._\n\n### Specialist Dots\n\nGive each Dot a name, role, instructions, and permitted tools. A researcher can investigate a topic; a writer can turn findings into a draft. Inspect their work and control what they can do.\n\n### Dot computers\n\nEach Dot can have its own computer, using [OpenBot](https://github.com/CopilotKit/OpenBot)'s container supervisor and computer service. Its browser profile and workspace files persist across stop/start. The Computer panel exposes browser control, human takeover, files, terminal output, and activity, with browser, file, and shell permissions set per Dot. The application keeps service credentials on the server and derives a different computer credential for each Dot.\n\nSee [Computer setup](docs/COMPUTERS.md) to build the pinned services and connect your deployment. Computer tools require those services; an unconfigured template does not execute commands on your host.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/30b691c3-0f66-4964-9fdb-67d4feab5568\n\n</td></tr></table>\n\n</div>\n\n_Ask Scout to open a website, summarize it, save notes, and verify the file. Every computer action in this demo is requested through chat; CopilotKit tool renderers show the live browser, saved file, and terminal output inline._\n\n### Review before saving\n\nAsk a Dot to show a draft before saving it. A CopilotKit human-in-the-loop card pauses the conversation for **Approve & save** or **Decline**. Approval creates the page in an authorized Space and returns a link; retries with the same draft recover that saved page. A changed draft needs a new review. The agent continues after your decision.\n\n### Connections\n\nGive a Dot tools from any MCP server, such as email, calendar, GitHub, or your own services. Read-only tools run on their own. Any other tool pauses for an **Approve & run** card in chat, and only your approval runs it. You can turn each tool on or off per Dot. See [Connections](docs/CONNECTIONS.md).\n\n### Text and calls\n\nA continuous conversation keeps the Dot's avatar and status above the messages, with text and call controls close at hand. Work updates, source links, and call receipts appear in the timeline; a side panel shows results or the agent's computer.\n\nCalls pair realtime speech with a separate compute agent, so the conversation can continue while longer work runs. Both use the same conversation context and tool permissions. The call screen includes a live timer, separate user and Dot captions, microphone mute, speaker mute, and a minimized view for continuing in chat. Voice needs separate provider configuration.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/3c06cf71-39ed-4e2b-b846-5463b2722389\n\n</td></tr></table>\n\n</div>\n\n_Connect, talk, mute, minimize, and return to chat. This is a silent screen capture of a real call, with waiting time trimmed and playback accelerated._\n\n### Slack\n\nMention a Dot through a managed Slack connection using Channels SDK, then continue in its thread. The integration follows [OpenTag](https://github.com/CopilotKit/OpenTag), with an explicit workspace/user allowlist and a selected specialist. See [Slack setup](docs/SETUP.md#slack) to connect your deployment.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/27d03a6c-a9e0-4c29-8d96-fafe0fbae20f\n\n</td></tr></table>\n\n</div>\n\nBring your agents into Slack with [Channels SDK](https://github.com/CopilotKit/channels-sdk). See the [managed Channels documentation](https://docs.copilotkit.ai/intelligence/channels) to connect them through CopilotKit Intelligence.\n","version":"0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a","retrievedAt":"2026-10-14T20:24:01Z"},{"sourceUrl":"https://github.com/CopilotKit/OpenDots/blob/0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a/README.md","section":"### Specialist Dots","quote":"### Specialist Dots\n\nGive each Dot a name, role, instructions, and permitted tools. A researcher can investigate a topic; a writer can turn findings into a draft. Inspect their work and control what they can do.\n\n### Dot computers\n\nEach Dot can have its own computer, using [OpenBot](https://github.com/CopilotKit/OpenBot)'s container supervisor and computer service. Its browser profile and workspace files persist across stop/start. The Computer panel exposes browser control, human takeover, files, terminal output, and activity, with browser, file, and shell permissions set per Dot. The application keeps service credentials on the server and derives a different computer credential for each Dot.\n\nSee [Computer setup](docs/COMPUTERS.md) to build the pinned services and connect your deployment. Computer tools require those services; an unconfigured template does not execute commands on your host.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/30b691c3-0f66-4964-9fdb-67d4feab5568\n\n</td></tr></table>\n\n</div>\n\n_Ask Scout to open a website, summarize it, save notes, and verify the file. Every computer action in this demo is requested through chat; CopilotKit tool renderers show the live browser, saved file, and terminal output inline._\n\n### Review before saving\n\nAsk a Dot to show a draft before saving it. A CopilotKit human-in-the-loop card pauses the conversation for **Approve & save** or **Decline**. Approval creates the page in an authorized Space and returns a link; retries with the same draft recover that saved page. A changed draft needs a new review. The agent continues after your decision.\n\n### Connections\n\nGive a Dot tools from any MCP server, such as email, calendar, GitHub, or your own services. Read-only tools run on their own. Any other tool pauses for an **Approve & run** card in chat, and only your approval runs it. You can turn each tool on or off per Dot. See [Connections](docs/CONNECTIONS.md).\n\n### Text and calls\n\nA continuous conversation keeps the Dot's avatar and status above the messages, with text and call controls close at hand. Work updates, source links, and call receipts appear in the timeline; a side panel shows results or the agent's computer.\n\nCalls pair realtime speech with a separate compute agent, so the conversation can continue while longer work runs. Both use the same conversation context and tool permissions. The call screen includes a live timer, separate user and Dot captions, microphone mute, speaker mute, and a minimized view for continuing in chat. Voice needs separate provider configuration.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/3c06cf71-39ed-4e2b-b846-5463b2722389\n\n</td></tr></table>\n\n</div>\n\n_Connect, talk, mute, minimize, and return to chat. This is a silent screen capture of a real call, with waiting time trimmed and playback accelerated._\n\n### Slack\n\nMention a Dot through a managed Slack connection using Channels SDK, then continue in its thread. The integration follows [OpenTag](https://github.com/CopilotKit/OpenTag), with an explicit workspace/user allowlist and a selected specialist. See [Slack setup](docs/SETUP.md#slack) to connect your deployment.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/27d03a6c-a9e0-4c29-8d96-fafe0fbae20f\n\n</td></tr></table>\n\n</div>\n\nBring your agents into Slack with [Channels SDK](https://github.com/CopilotKit/channels-sdk). See the [managed Channels documentation](https://docs.copilotkit.ai/intelligence/channels) to connect them through CopilotKit Intelligence.\n","version":"0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a","retrievedAt":"2026-10-14T20:24:01Z"},{"sourceUrl":"https://github.com/CopilotKit/OpenDots/blob/0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a/README.md","section":"### Dot computers","quote":"### Dot computers\n\nEach Dot can have its own computer, using [OpenBot](https://github.com/CopilotKit/OpenBot)'s container supervisor and computer service. Its browser profile and workspace files persist across stop/start. The Computer panel exposes browser control, human takeover, files, terminal output, and activity, with browser, file, and shell permissions set per Dot. The application keeps service credentials on the server and derives a different computer credential for each Dot.\n\nSee [Computer setup](docs/COMPUTERS.md) to build the pinned services and connect your deployment. Computer tools require those services; an unconfigured template does not execute commands on your host.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/30b691c3-0f66-4964-9fdb-67d4feab5568\n\n</td></tr></table>\n\n</div>\n\n_Ask Scout to open a website, summarize it, save notes, and verify the file. Every computer action in this demo is requested through chat; CopilotKit tool renderers show the live browser, saved file, and terminal output inline._\n\n### Review before saving\n\nAsk a Dot to show a draft before saving it. A CopilotKit human-in-the-loop card pauses the conversation for **Approve & save** or **Decline**. Approval creates the page in an authorized Space and returns a link; retries with the same draft recover that saved page. A changed draft needs a new review. The agent continues after your decision.\n\n### Connections\n\nGive a Dot tools from any MCP server, such as email, calendar, GitHub, or your own services. Read-only tools run on their own. Any other tool pauses for an **Approve & run** card in chat, and only your approval runs it. You can turn each tool on or off per Dot. See [Connections](docs/CONNECTIONS.md).\n\n### Text and calls\n\nA continuous conversation keeps the Dot's avatar and status above the messages, with text and call controls close at hand. Work updates, source links, and call receipts appear in the timeline; a side panel shows results or the agent's computer.\n\nCalls pair realtime speech with a separate compute agent, so the conversation can continue while longer work runs. Both use the same conversation context and tool permissions. The call screen includes a live timer, separate user and Dot captions, microphone mute, speaker mute, and a minimized view for continuing in chat. Voice needs separate provider configuration.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/3c06cf71-39ed-4e2b-b846-5463b2722389\n\n</td></tr></table>\n\n</div>\n\n_Connect, talk, mute, minimize, and return to chat. This is a silent screen capture of a real call, with waiting time trimmed and playback accelerated._\n\n### Slack\n\nMention a Dot through a managed Slack connection using Channels SDK, then continue in its thread. The integration follows [OpenTag](https://github.com/CopilotKit/OpenTag), with an explicit workspace/user allowlist and a selected specialist. See [Slack setup](docs/SETUP.md#slack) to connect your deployment.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/27d03a6c-a9e0-4c29-8d96-fafe0fbae20f\n\n</td></tr></table>\n\n</div>\n\nBring your agents into Slack with [Channels SDK](https://github.com/CopilotKit/channels-sdk). See the [managed Channels documentation](https://docs.copilotkit.ai/intelligence/channels) to connect them through CopilotKit Intelligence.\n","version":"0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a","retrievedAt":"2026-10-14T20:24:01Z"},{"sourceUrl":"https://github.com/CopilotKit/OpenDots/blob/0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a/README.md","section":"### Text and calls","quote":"### Text and calls\n\nA continuous conversation keeps the Dot's avatar and status above the messages, with text and call controls close at hand. Work updates, source links, and call receipts appear in the timeline; a side panel shows results or the agent's computer.\n\nCalls pair realtime speech with a separate compute agent, so the conversation can continue while longer work runs. Both use the same conversation context and tool permissions. The call screen includes a live timer, separate user and Dot captions, microphone mute, speaker mute, and a minimized view for continuing in chat. Voice needs separate provider configuration.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/3c06cf71-39ed-4e2b-b846-5463b2722389\n\n</td></tr></table>\n\n</div>\n\n_Connect, talk, mute, minimize, and return to chat. This is a silent screen capture of a real call, with waiting time trimmed and playback accelerated._\n\n### Slack\n\nMention a Dot through a managed Slack connection using Channels SDK, then continue in its thread. The integration follows [OpenTag](https://github.com/CopilotKit/OpenTag), with an explicit workspace/user allowlist and a selected specialist. See [Slack setup](docs/SETUP.md#slack) to connect your deployment.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/27d03a6c-a9e0-4c29-8d96-fafe0fbae20f\n\n</td></tr></table>\n\n</div>\n\nBring your agents into Slack with [Channels SDK](https://github.com/CopilotKit/channels-sdk). See the [managed Channels documentation](https://docs.copilotkit.ai/intelligence/channels) to connect them through CopilotKit Intelligence.\n","version":"0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a","retrievedAt":"2026-10-14T20:24:01Z"},{"sourceUrl":"https://github.com/CopilotKit/OpenDots/blob/0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a/README.md","section":"### Slack","quote":"### Slack\n\nMention a Dot through a managed Slack connection using Channels SDK, then continue in its thread. The integration follows [OpenTag](https://github.com/CopilotKit/OpenTag), with an explicit workspace/user allowlist and a selected specialist. See [Slack setup](docs/SETUP.md#slack) to connect your deployment.\n\n<div align=\"center\">\n\n<table><tr><td>\n\nhttps://github.com/user-attachments/assets/27d03a6c-a9e0-4c29-8d96-fafe0fbae20f\n\n</td></tr></table>\n\n</div>\n\nBring your agents into Slack with [Channels SDK](https://github.com/CopilotKit/channels-sdk). See the [managed Channels documentation](https://docs.copilotkit.ai/intelligence/channels) to connect them through CopilotKit Intelligence.\n","version":"0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a","retrievedAt":"2026-10-14T20:24:01Z"}],"version":"0fc09e2964f6e5bb6580e54ac5c0709467bcbf0a","retrievedAt":"2026-10-14T20:24:01Z","claimId":"1396117711:mechanism","basis":"official_documentation","evidenceStatus":"Documented"}],"problemsSolved":["Give specialist assistants shared documents without giving each one every tool."],"useCases":["Developers building a tailored AI coworker workspace"],"requirements":["MIT template in alpha; requires Node.js 24 and service configuration. Manual page editing works without conversation services, but AI conversations require CopilotKit Intelligence and a model provider. Hosted services have separate terms; local Intelligence is an account-based, renewable 30-day evaluation on macOS Docker, not a production install. Licensed self-hosting, voice and computer services add requirements and possible costs.","MIT template in alpha; requires Node.js 24 and service configuration. Manual page editing works without conversation services, but AI conversations require CopilotKit Intelligence and a model provider. Hosted services have separate terms; local Intelligence is an account-based, renewable 30-day evaluation on macOS Docker, not a production install. Licensed self-hosting, voice and computer services add requirements and possible costs."],"caveats":["MIT template in alpha; requires Node.js 24 and service configuration. Manual page editing works without conversation services, but AI conversations require CopilotKit Intelligence and a model provider. Hosted services have separate terms; local Intelligence is an account-based, renewable 30-day evaluation on macOS Docker, not a production install. 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Start with a brief, then use your coding agent or OpenDesign Cloud to create a prototype that follows your design system. Share it with your team for feedback, and let your agent refine it in the same project.\n\nThat workflow is open and extensible. OpenDesign is licensed under Apache 2.0 and gives teams skills, design templates, design systems, and plugins they can inspect and adapt to their own process.\n\n\n---\n","retainedExcerpts":[{"sourceUrl":"https://github.com/nexu-io/open-design/blob/14fee234e6eb268058fed17ba979d8e22798dd34/README.md","section":"## What is OpenDesign","quote":"## What is OpenDesign\n\nOpenDesign is **the 1st collaborative AI design agent workspace**. Start with a brief, then use your coding agent or OpenDesign Cloud to create a prototype that follows your design system. Share it with your team for feedback, and let your agent refine it in the same project.\n\nThat workflow is open and extensible. 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DeepSeek Harness is a first-class native runtime through the official `dsh` CLI, with structured streaming, model discovery, cancellation, and session resume.\n\n| Coding agent / platform &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; | Status &nbsp;&nbsp; | Quick setup &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; |\n|---|:---:|---|\n| [Claude Code](https://docs.anthropic.com/en/docs/claude-code) | ✅ Supported | `od mcp install claude` |\n| [Claude Desktop](https://claude.ai/download) | ✅ Supported¹ | `od mcp install claude-desktop` |\n| [Codex CLI](https://github.com/openai/codex) | ✅ Supported | `od mcp install codex` |\n| [DeepSeek Reasonix](https://github.com/esengine/DeepSeek-Reasonix) | ✅ Supported | `od mcp install reasonix` |\n| [DeepSeek Harness](https://github.com/deepseek-ai/deepseek-harness) | ✅ Native runtime | `od agent setup deepseek-harness` |\n| [Raven](https://github.com/EverMind-AI/Raven) | ✅ Supported | `od mcp install raven` |\n| [Cursor](https://www.cursor.com/cli) | ✅ Supported | `od mcp install cursor` |\n| [VS Code + GitHub Copilot](https://github.com/features/copilot) | ✅ Supported | `od mcp install copilot` |\n| [GitHub Copilot CLI](https://github.com/features/copilot/cli) | ✅ Supported | `od mcp install copilot` |\n| [OpenCode](https://opencode.ai/) | ✅ Supported | `od mcp install opencode` |\n| [OpenClaw](https://github.com/openclaw/openclaw) | ✅ Supported | `od mcp install openclaw` |\n| [Antigravity](https://antigravity.google) | ✅ Supported | `od mcp install antigravity` |\n| [Cline](https://github.com/cline/cline) | ✅ Supported | `od mcp install cline` |\n| [Trae](https://www.trae.ai/) | ✅ Supported | `od mcp install trae` |\n| [Kimi CLI](https://github.com/MoonshotAI/kimi-cli) | ✅ Supported | `od mcp install kimi` |\n| [Kiro](https://kiro.dev) | ✅ Supported | `od mcp install kiro` |\n| [Pi Agent](https://github.com/badlogic/pi-mono) | ✅ Supported | `od mcp install pi` |\n| [Mistral Vibe CLI](https://github.com/mistralai/mistral-vibe) | ✅ Supported | `od mcp install vibe` |\n| [Hermes Agent](https://github.com/nousresearch/hermes-agent) | ✅ Supported | `od mcp install hermes` |\n\nFor DeepSeek Harness, install the official `dsh` CLI first, then select it in OpenDesign or run `od agent setup deepseek-harness` to install/repair OD's connection component. For MCP integrations: `od mcp install <agent> --print` for a dry-run preview · `--uninstall` to remove · full list with `od mcp install --help`.\n\n¹ Automatic MCP configuration for Claude Desktop is currently supported on macOS and Windows only.\n\n<p align=\"center\">\n  <img src=\"https://repo-assets.open-design.ai/resources/images/coding-agents.png\" alt=\"The 26 coding-agent CLIs OpenDesign supports — DeepSeek Harness · Claude Code · Codex · OpenCode · Hermes · Antigravity · Vela · Grok Build · Kimi · Cursor Agent · Qwen · Qoder · GitHub Copilot · Pi · Kiro · Kilo · Mistral Vibe · DeepSeek · Reasonix · Aider · Amp · CodeBuddy · Mimo · AtomCode · Devin · Trae\" width=\"100%\" />\n</p>\n\n**No CLI installed?** The BYOK proxy at `POST /api/proxy/{anthropic,openai,azure,google,ollama,senseaudio}/stream` gives you the same loop (no process spawn) — paste `baseUrl` + `apiKey` + `model`, with presets for OpenAI, Atlas Cloud, Anthropic, Azure OpenAI, Google Gemini, Ollama, LM Studio, vLLM, or any OpenAI-compatible endpoint. Atlas Cloud uses `https://api.atlascloud.ai/v1` with your own key and OpenAI-compatible model ids such as `qwen/qwen3.5-flash`. Per-target SSRF protection blocks internal IPs / link-local / CGNAT at the daemon edge.\n\nRuntime definitions live in [`apps/daemon/src/runtimes/defs/`](apps/daemon/src/runtimes/defs/), with registration and shared stream handling under [`apps/daemon/src/runtimes/`](apps/daemon/src/runtimes/). See [`docs/agent-adapters.md`](docs/agent-adapters.md) for the adapter contract.\n\n---\n","version":"14fee234e6eb268058fed17ba979d8e22798dd34","retrievedAt":"2026-10-14T20:24:00Z"}],"version":"14fee234e6eb268058fed17ba979d8e22798dd34","retrievedAt":"2026-10-14T20:24:00Z","claimId":"1223170290:title","basis":"official_documentation","evidenceStatus":"Documented"},{"key":"explanation","text":"OpenDesign brings the brief, design system, agent conversation and live preview into one project. 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OpenDesign is licensed under Apache 2.0 and gives teams skills, design templates, design systems, and plugins they can inspect and adapt to their own process.\n\n\n---\n","version":"14fee234e6eb268058fed17ba979d8e22798dd34","retrievedAt":"2026-10-14T20:24:00Z"},{"sourceUrl":"https://github.com/nexu-io/open-design/blob/14fee234e6eb268058fed17ba979d8e22798dd34/README.md","section":"### Studio","quote":"### Studio — create and refine in one project\n\n<table>\n<tr>\n<td width=\"50%\" valign=\"top\">\n<img src=\"docs/screenshots/product-tour/studio-prototype-2026.webp\" alt=\"Website prototype with live preview and agent conversation in OpenDesign Studio\" /><br/>\n<sub><b>Prototype</b> — build and refine interactive web experiences with your agent and live preview.</sub>\n</td>\n<td width=\"50%\" valign=\"top\">\n<img src=\"docs/screenshots/product-tour/studio-slides-2026.png\" alt=\"Swiss Grid presentation in OpenDesign Studio with slide thumbnails and speaker notes\" /><br/>\n<sub><b>Slides</b> — create decks, review slides and speaker notes, and export when ready.</sub>\n</td>\n</tr>\n<tr>\n<td width=\"50%\" valign=\"top\">\n<img src=\"docs/screenshots/product-tour/studio-image-2026.webp\" alt=\"Generated fashion portrait preview in OpenDesign Studio\" /><br/>\n<sub><b>Image</b> — generate visual assets from the conversation, inspect the result, then download or open it.</sub>\n</td>\n<td width=\"50%\" valign=\"top\">\n<a href=\"docs/screenshots/product-tour/studio-hyperframes-2026.mp4\"><img src=\"docs/screenshots/product-tour/studio-hyperframes-poster-2026.png\" alt=\"OpenDesign HyperFrames editor showing the One brief, Every deliverable motion graphic\" /></a><br/>\n<sub><b>HyperFrames</b> — create motion graphics with your agent and export to MP4. <a href=\"docs/screenshots/product-tour/studio-hyperframes-2026.mp4\">Watch the video</a>.</sub>\n</td>\n</tr>\n</table>\n\n---\n","version":"14fee234e6eb268058fed17ba979d8e22798dd34","retrievedAt":"2026-10-14T20:24:00Z"},{"sourceUrl":"https://github.com/nexu-io/open-design/blob/14fee234e6eb268058fed17ba979d8e22798dd34/README.md","section":"## Platform Compatibility","quote":"## Platform Compatibility\n\n> OpenDesign connects to mainstream coding agents in two ways: **skills, CLI, and MCP** for agents that consume OD, plus **native runtime adapters** for agents that OD launches directly. DeepSeek Harness is a first-class native runtime through the official `dsh` CLI, with structured streaming, model discovery, cancellation, and session resume.\n\n| Coding agent / platform &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; | Status &nbsp;&nbsp; | Quick setup &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; |\n|---|:---:|---|\n| [Claude Code](https://docs.anthropic.com/en/docs/claude-code) | ✅ Supported | `od mcp install claude` |\n| [Claude Desktop](https://claude.ai/download) | ✅ Supported¹ | `od mcp install claude-desktop` |\n| [Codex CLI](https://github.com/openai/codex) | ✅ Supported | `od mcp install codex` |\n| [DeepSeek Reasonix](https://github.com/esengine/DeepSeek-Reasonix) | ✅ Supported | `od mcp install reasonix` |\n| [DeepSeek Harness](https://github.com/deepseek-ai/deepseek-harness) | ✅ Native runtime | `od agent setup deepseek-harness` |\n| [Raven](https://github.com/EverMind-AI/Raven) | ✅ Supported | `od mcp install raven` |\n| [Cursor](https://www.cursor.com/cli) | ✅ Supported | `od mcp install cursor` |\n| [VS Code + GitHub Copilot](https://github.com/features/copilot) | ✅ Supported | `od mcp install copilot` |\n| [GitHub Copilot CLI](https://github.com/features/copilot/cli) | ✅ Supported | `od mcp install copilot` |\n| [OpenCode](https://opencode.ai/) | ✅ Supported | `od mcp install opencode` |\n| [OpenClaw](https://github.com/openclaw/openclaw) | ✅ Supported | `od mcp install openclaw` |\n| [Antigravity](https://antigravity.google) | ✅ Supported | `od mcp install antigravity` |\n| [Cline](https://github.com/cline/cline) | ✅ Supported | `od mcp install cline` |\n| [Trae](https://www.trae.ai/) | ✅ Supported | `od mcp install trae` |\n| [Kimi CLI](https://github.com/MoonshotAI/kimi-cli) | ✅ Supported | `od mcp install kimi` |\n| [Kiro](https://kiro.dev) | ✅ Supported | `od mcp install kiro` |\n| [Pi Agent](https://github.com/badlogic/pi-mono) | ✅ Supported | `od mcp install pi` |\n| [Mistral Vibe CLI](https://github.com/mistralai/mistral-vibe) | ✅ Supported | `od mcp install vibe` |\n| [Hermes Agent](https://github.com/nousresearch/hermes-agent) | ✅ Supported | `od mcp install hermes` |\n\nFor DeepSeek Harness, install the official `dsh` CLI first, then select it in OpenDesign or run `od agent setup deepseek-harness` to install/repair OD's connection component. For MCP integrations: `od mcp install <agent> --print` for a dry-run preview · `--uninstall` to remove · full list with `od mcp install --help`.\n\n¹ Automatic MCP configuration for Claude Desktop is currently supported on macOS and Windows only.\n\n<p align=\"center\">\n  <img src=\"https://repo-assets.open-design.ai/resources/images/coding-agents.png\" alt=\"The 26 coding-agent CLIs OpenDesign supports — DeepSeek Harness · Claude Code · Codex · OpenCode · Hermes · Antigravity · Vela · Grok Build · Kimi · Cursor Agent · Qwen · Qoder · GitHub Copilot · Pi · Kiro · Kilo · Mistral Vibe · DeepSeek · Reasonix · Aider · Amp · CodeBuddy · Mimo · AtomCode · Devin · Trae\" width=\"100%\" />\n</p>\n\n**No CLI installed?** The BYOK proxy at `POST /api/proxy/{anthropic,openai,azure,google,ollama,senseaudio}/stream` gives you the same loop (no process spawn) — paste `baseUrl` + `apiKey` + `model`, with presets for OpenAI, Atlas Cloud, Anthropic, Azure OpenAI, Google Gemini, Ollama, LM Studio, vLLM, or any OpenAI-compatible endpoint. Atlas Cloud uses `https://api.atlascloud.ai/v1` with your own key and OpenAI-compatible model ids such as `qwen/qwen3.5-flash`. Per-target SSRF protection blocks internal IPs / link-local / CGNAT at the daemon edge.\n\nRuntime definitions live in [`apps/daemon/src/runtimes/defs/`](apps/daemon/src/runtimes/defs/), with registration and shared stream handling under [`apps/daemon/src/runtimes/`](apps/daemon/src/runtimes/). See [`docs/agent-adapters.md`](docs/agent-adapters.md) for the adapter contract.\n\n---\n","version":"14fee234e6eb268058fed17ba979d8e22798dd34","retrievedAt":"2026-10-14T20:24:00Z"}],"version":"14fee234e6eb268058fed17ba979d8e22798dd34","retrievedAt":"2026-10-14T20:24:00Z","claimId":"1223170290:explanation","basis":"official_documentation","evidenceStatus":"Documented"},{"key":"mechanism","text":"A local workspace connects design skills and templates to supported agent runtimes or a configured BYOK model.","sourceUrls":["https://github.com/nexu-io/open-design/blob/14fee234e6eb268058fed17ba979d8e22798dd34/README.md"],"quote":"## What is OpenDesign\n\nOpenDesign is **the 1st collaborative AI design agent workspace**. Start with a brief, then use your coding agent or OpenDesign Cloud to create a prototype that follows your design system. Share it with your team for feedback, and let your agent refine it in the same project.\n\nThat workflow is open and extensible. OpenDesign is licensed under Apache 2.0 and gives teams skills, design templates, design systems, and plugins they can inspect and adapt to their own process.\n\n\n---\n","retainedExcerpts":[{"sourceUrl":"https://github.com/nexu-io/open-design/blob/14fee234e6eb268058fed17ba979d8e22798dd34/README.md","section":"## What is OpenDesign","quote":"## What is OpenDesign\n\nOpenDesign is **the 1st collaborative AI design agent workspace**. Start with a brief, then use your coding agent or OpenDesign Cloud to create a prototype that follows your design system. Share it with your team for feedback, and let your agent refine it in the same project.\n\nThat workflow is open and extensible. OpenDesign is licensed under Apache 2.0 and gives teams skills, design templates, design systems, and plugins they can inspect and adapt to their own process.\n\n\n---\n","version":"14fee234e6eb268058fed17ba979d8e22798dd34","retrievedAt":"2026-10-14T20:24:00Z"},{"sourceUrl":"https://github.com/nexu-io/open-design/blob/14fee234e6eb268058fed17ba979d8e22798dd34/README.md","section":"### Studio","quote":"### Studio — create and refine in one project\n\n<table>\n<tr>\n<td width=\"50%\" valign=\"top\">\n<img src=\"docs/screenshots/product-tour/studio-prototype-2026.webp\" alt=\"Website prototype with live preview and agent conversation in OpenDesign Studio\" /><br/>\n<sub><b>Prototype</b> — build and refine interactive web experiences with your agent and live preview.</sub>\n</td>\n<td width=\"50%\" valign=\"top\">\n<img src=\"docs/screenshots/product-tour/studio-slides-2026.png\" alt=\"Swiss Grid presentation in OpenDesign Studio with slide thumbnails and speaker notes\" /><br/>\n<sub><b>Slides</b> — create decks, review slides and speaker notes, and export when ready.</sub>\n</td>\n</tr>\n<tr>\n<td width=\"50%\" valign=\"top\">\n<img src=\"docs/screenshots/product-tour/studio-image-2026.webp\" alt=\"Generated fashion portrait preview in OpenDesign Studio\" /><br/>\n<sub><b>Image</b> — generate visual assets from the conversation, inspect the result, then download or open it.</sub>\n</td>\n<td width=\"50%\" valign=\"top\">\n<a href=\"docs/screenshots/product-tour/studio-hyperframes-2026.mp4\"><img src=\"docs/screenshots/product-tour/studio-hyperframes-poster-2026.png\" alt=\"OpenDesign HyperFrames editor showing the One brief, Every deliverable motion graphic\" /></a><br/>\n<sub><b>HyperFrames</b> — create motion graphics with your agent and export to MP4. <a href=\"docs/screenshots/product-tour/studio-hyperframes-2026.mp4\">Watch the video</a>.</sub>\n</td>\n</tr>\n</table>\n\n---\n","version":"14fee234e6eb268058fed17ba979d8e22798dd34","retrievedAt":"2026-10-14T20:24:00Z"},{"sourceUrl":"https://github.com/nexu-io/open-design/blob/14fee234e6eb268058fed17ba979d8e22798dd34/README.md","section":"## Platform Compatibility","quote":"## Platform Compatibility\n\n> OpenDesign connects to mainstream coding agents in two ways: **skills, CLI, and MCP** for agents that consume OD, plus **native runtime adapters** for agents that OD launches directly. DeepSeek Harness is a first-class native runtime through the official `dsh` CLI, with structured streaming, model discovery, cancellation, and session resume.\n\n| Coding agent / platform &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; | Status &nbsp;&nbsp; | Quick setup &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; |\n|---|:---:|---|\n| [Claude Code](https://docs.anthropic.com/en/docs/claude-code) | ✅ Supported | `od mcp install claude` |\n| [Claude Desktop](https://claude.ai/download) | ✅ Supported¹ | `od mcp install claude-desktop` |\n| [Codex CLI](https://github.com/openai/codex) | ✅ Supported | `od mcp install codex` |\n| [DeepSeek Reasonix](https://github.com/esengine/DeepSeek-Reasonix) | ✅ Supported | `od mcp install reasonix` |\n| [DeepSeek Harness](https://github.com/deepseek-ai/deepseek-harness) | ✅ Native runtime | `od agent setup deepseek-harness` |\n| [Raven](https://github.com/EverMind-AI/Raven) | ✅ Supported | `od mcp install raven` |\n| [Cursor](https://www.cursor.com/cli) | ✅ Supported | `od mcp install cursor` |\n| [VS Code + GitHub Copilot](https://github.com/features/copilot) | ✅ Supported | `od mcp install copilot` |\n| [GitHub Copilot CLI](https://github.com/features/copilot/cli) | ✅ Supported | `od mcp install copilot` |\n| [OpenCode](https://opencode.ai/) | ✅ Supported | `od mcp install opencode` |\n| [OpenClaw](https://github.com/openclaw/openclaw) | ✅ Supported | `od mcp install openclaw` |\n| [Antigravity](https://antigravity.google) | ✅ Supported | `od mcp install antigravity` |\n| [Cline](https://github.com/cline/cline) | ✅ Supported | `od mcp install cline` |\n| [Trae](https://www.trae.ai/) | ✅ Supported | `od mcp install trae` |\n| [Kimi CLI](https://github.com/MoonshotAI/kimi-cli) | ✅ Supported | `od mcp install kimi` |\n| [Kiro](https://kiro.dev) | ✅ Supported | `od mcp install kiro` |\n| [Pi Agent](https://github.com/badlogic/pi-mono) | ✅ Supported | `od mcp install pi` |\n| [Mistral Vibe CLI](https://github.com/mistralai/mistral-vibe) | ✅ Supported | `od mcp install vibe` |\n| [Hermes Agent](https://github.com/nousresearch/hermes-agent) | ✅ Supported | `od mcp install hermes` |\n\nFor DeepSeek Harness, install the official `dsh` CLI first, then select it in OpenDesign or run `od agent setup deepseek-harness` to install/repair OD's connection component. For MCP integrations: `od mcp install <agent> --print` for a dry-run preview · `--uninstall` to remove · full list with `od mcp install --help`.\n\n¹ Automatic MCP configuration for Claude Desktop is currently supported on macOS and Windows only.\n\n<p align=\"center\">\n  <img src=\"https://repo-assets.open-design.ai/resources/images/coding-agents.png\" alt=\"The 26 coding-agent CLIs OpenDesign supports — DeepSeek Harness · Claude Code · Codex · OpenCode · Hermes · Antigravity · Vela · Grok Build · Kimi · Cursor Agent · Qwen · Qoder · GitHub Copilot · Pi · Kiro · Kilo · Mistral Vibe · DeepSeek · Reasonix · Aider · Amp · CodeBuddy · Mimo · AtomCode · Devin · Trae\" width=\"100%\" />\n</p>\n\n**No CLI installed?** The BYOK proxy at `POST /api/proxy/{anthropic,openai,azure,google,ollama,senseaudio}/stream` gives you the same loop (no process spawn) — paste `baseUrl` + `apiKey` + `model`, with presets for OpenAI, Atlas Cloud, Anthropic, Azure OpenAI, Google Gemini, Ollama, LM Studio, vLLM, or any OpenAI-compatible endpoint. Atlas Cloud uses `https://api.atlascloud.ai/v1` with your own key and OpenAI-compatible model ids such as `qwen/qwen3.5-flash`. Per-target SSRF protection blocks internal IPs / link-local / CGNAT at the daemon edge.\n\nRuntime definitions live in [`apps/daemon/src/runtimes/defs/`](apps/daemon/src/runtimes/defs/), with registration and shared stream handling under [`apps/daemon/src/runtimes/`](apps/daemon/src/runtimes/). See [`docs/agent-adapters.md`](docs/agent-adapters.md) for the adapter contract.\n\n---\n","version":"14fee234e6eb268058fed17ba979d8e22798dd34","retrievedAt":"2026-10-14T20:24:00Z"}],"version":"14fee234e6eb268058fed17ba979d8e22798dd34","retrievedAt":"2026-10-14T20:24:00Z","claimId":"1223170290:mechanism","basis":"official_documentation","evidenceStatus":"Documented"}],"problemsSolved":["Keep the design brief and the working prototype in the same conversation."],"useCases":["Designers and developers exploring interfaces or presentation drafts"],"requirements":["Apache-2.0 workspace; configure a supported agent CLI or BYOK model. Model usage, cloud plans and generated assets can cost money. Source setup requires Node.js 24 and pinned pnpm 10.33.x, or Docker. macOS, Linux and WSL2 are primary paths; native Windows has separate troubleshooting guidance. A local interface does not make the chosen model provider local or offline.","Apache-2.0 workspace; configure a supported agent CLI or BYOK model. Model usage, cloud plans and generated assets can cost money. Source setup requires Node.js 24 and pinned pnpm 10.33.x, or Docker. macOS, Linux and WSL2 are primary paths; native Windows has separate troubleshooting guidance. A local interface does not make the chosen model provider local or offline."],"caveats":["Apache-2.0 workspace; configure a supported agent CLI or BYOK model. Model usage, cloud plans and generated assets can cost money. Source setup requires Node.js 24 and pinned pnpm 10.33.x, or Docker. macOS, Linux and WSL2 are primary paths; native Windows has separate troubleshooting guidance. A local interface does not make the chosen model provider local or offline.","Apache-2.0 workspace; configure a supported agent CLI or BYOK model. Model usage, cloud plans and generated assets can cost money. 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Knowledge isn't confined to one person — anything a teammate writes is immediately available to everyone else and to their AI assistants. \nEdit a note together in real time, hand work off between humans and agents, and build one connected knowledge base instead of scattered copies. Same pricing - start with one user and add more as needed. \n\n---\n\n# Basic Memory\n\n### Your AI never forgets again.\n\nPick up right where you left off — in Claude, Codex, Cursor, ChatGPT, or\nanything that speaks [MCP](https://modelcontextprotocol.io). Your knowledge\nlives as Markdown files that both you and your AI can read, write, and\nsearch.\n\n- **Local-first.** Plain text on your disk. Forever.\n- **Two-way.** AI and humans write to the same files; sync keeps them in step.\n- **A real knowledge graph.** Observations and wikilinks compound into context.\n- **Semantic search.** Find notes by meaning, not just keywords, with optional\n  cross-encoder reranking for higher-quality vector and hybrid results.\n- **MCP-native.** Works with every major AI client and IDE.\n- **Progressive tool discovery.** Every tool is tagged with behavior hints\n  (read-only, destructive, idempotent) so agents pick the right tool on\n  demand — no wasted context trying things to see what they do.\n- **Cloud, optional.** Sync across devices when you want — never required.\n","retainedExcerpts":[{"sourceUrl":"https://github.com/basicmachines-co/basic-memory/blob/54b8d94b94cb8e4e526f438010ca771c5ad9f209/README.md","section":"# Basic Memory","quote":"# Basic Memory Teams is now available!\n\nGive your team a single, shared cloud workspace. Knowledge isn't confined to one person — anything a teammate writes is immediately available to everyone else and to their AI assistants. \nEdit a note together in real time, hand work off between humans and agents, and build one connected knowledge base instead of scattered copies. Same pricing - start with one user and add more as needed. \n\n---\n\n# Basic Memory\n\n### Your AI never forgets again.\n\nPick up right where you left off — in Claude, Codex, Cursor, ChatGPT, or\nanything that speaks [MCP](https://modelcontextprotocol.io). Your knowledge\nlives as Markdown files that both you and your AI can read, write, and\nsearch.\n\n- **Local-first.** Plain text on your disk. Forever.\n- **Two-way.** AI and humans write to the same files; sync keeps them in step.\n- **A real knowledge graph.** Observations and wikilinks compound into context.\n- **Semantic search.** Find notes by meaning, not just keywords, with optional\n  cross-encoder reranking for higher-quality vector and hybrid results.\n- **MCP-native.** Works with every major AI client and IDE.\n- **Progressive tool discovery.** Every tool is tagged with behavior hints\n  (read-only, destructive, idempotent) so agents pick the right tool on\n  demand — no wasted context trying things to see what they do.\n- **Cloud, optional.** Sync across devices when you want — never required.\n","version":"54b8d94b94cb8e4e526f438010ca771c5ad9f209","retrievedAt":"2026-10-14T20:23:54Z"},{"sourceUrl":"https://github.com/basicmachines-co/basic-memory/blob/54b8d94b94cb8e4e526f438010ca771c5ad9f209/README.md","section":"## What's New","quote":"## What's New\n\n- **Automatic updates.** Basic Memory keeps itself up to date for `uv tool`\n  and Homebrew installs; `bm update` triggers a manual check.\n- **Semantic vector search.** Find notes by meaning, not just keywords.\n  Hybrid full-text + vector ranking with FastEmbed embeddings, on SQLite or\n  Postgres.\n- **Optional search reranking.** Rescore the strongest vector and hybrid\n  candidates with a local FastEmbed cross-encoder or a LiteLLM-backed provider.\n- **Schema system.** Infer, validate, and diff the structure of your\n  knowledge base with `schema_infer`, `schema_validate`, `schema_diff`.\n- **Per-project cloud routing.** Route individual projects through the cloud\n  while others stay local, via API key (`bm project set-cloud`).\n- **Smarter editing.** `edit_note` append/prepend auto-creates notes when\n  missing; `write_note` guards against accidental overwrites.\n- **Richer search results.** Matched chunk text is included so the LLM gets\n  context, not just hits.\n- **FastMCP 3.0 + tool annotations.** Every tool ships with MCP behavior\n  hints (`readOnlyHint`, `destructiveHint`, `idempotentHint`,\n  `openWorldHint`) so agents can discover capabilities progressively at\n  runtime instead of guessing or burning tokens.\n- **CLI overhaul.** `--json` output for scripting, workspace-aware commands,\n  and an htop-inspired project dashboard.\n\nFull [CHANGELOG](CHANGELOG.md) for v0.18 → v0.20.\n","version":"54b8d94b94cb8e4e526f438010ca771c5ad9f209","retrievedAt":"2026-10-14T20:23:54Z"},{"sourceUrl":"https://github.com/basicmachines-co/basic-memory/blob/54b8d94b94cb8e4e526f438010ca771c5ad9f209/README.md","section":"## Development","quote":"## Development\n\nBasic Memory supports SQLite (default, fast, no Docker) and Postgres\n(via testcontainers — Docker required).\n\n```bash\njust install          # Install with dev dependencies\njust test-sqlite      # All tests, SQLite\njust test-postgres    # All tests, Postgres (testcontainers)\njust test             # Both backends\njust fast-check       # fix/format/typecheck + impacted tests\njust doctor           # File <-> DB consistency check (temp config)\njust package-check    # Claude Code, skills, Hermes, OpenClaw package checks\njust lint\njust typecheck        # Pyright (primary)\njust typecheck-ty     # ty (supplemental)\njust format\njust check            # All quality checks\njust migration \"msg\"  # New Alembic migration\n```\n\nTests use pytest markers: `windows`, `benchmark`, `smoke`. See\n[justfile](justfile) for the full list.\n\nContributions welcome — see [CONTRIBUTING.md](CONTRIBUTING.md).\n","version":"54b8d94b94cb8e4e526f438010ca771c5ad9f209","retrievedAt":"2026-10-14T20:23:54Z"}],"version":"54b8d94b94cb8e4e526f438010ca771c5ad9f209","retrievedAt":"2026-10-14T20:23:54Z","claimId":"897595329:title","basis":"official_documentation","evidenceStatus":"Documented"},{"key":"explanation","text":"Basic Memory lets people and MCP-compatible assistants read, write and search the same Markdown knowledge base. Linked notes and observations preserve project context between conversations, with keyword, vector and hybrid search over the saved material.","sourceUrls":["https://github.com/basicmachines-co/basic-memory/blob/54b8d94b94cb8e4e526f438010ca771c5ad9f209/README.md"],"quote":"# Basic Memory Teams is now available!\n\nGive your team a single, shared cloud workspace. Knowledge isn't confined to one person — anything a teammate writes is immediately available to everyone else and to their AI assistants. \nEdit a note together in real time, hand work off between humans and agents, and build one connected knowledge base instead of scattered copies. Same pricing - start with one user and add more as needed. \n\n---\n\n# Basic Memory\n\n### Your AI never forgets again.\n\nPick up right where you left off — in Claude, Codex, Cursor, ChatGPT, or\nanything that speaks [MCP](https://modelcontextprotocol.io). Your knowledge\nlives as Markdown files that both you and your AI can read, write, and\nsearch.\n\n- **Local-first.** Plain text on your disk. Forever.\n- **Two-way.** AI and humans write to the same files; sync keeps them in step.\n- **A real knowledge graph.** Observations and wikilinks compound into context.\n- **Semantic search.** Find notes by meaning, not just keywords, with optional\n  cross-encoder reranking for higher-quality vector and hybrid results.\n- **MCP-native.** Works with every major AI client and IDE.\n- **Progressive tool discovery.** Every tool is tagged with behavior hints\n  (read-only, destructive, idempotent) so agents pick the right tool on\n  demand — no wasted context trying things to see what they do.\n- **Cloud, optional.** Sync across devices when you want — never required.\n","retainedExcerpts":[{"sourceUrl":"https://github.com/basicmachines-co/basic-memory/blob/54b8d94b94cb8e4e526f438010ca771c5ad9f209/README.md","section":"# Basic Memory","quote":"# Basic Memory Teams is now available!\n\nGive your team a single, shared cloud workspace. Knowledge isn't confined to one person — anything a teammate writes is immediately available to everyone else and to their AI assistants. \nEdit a note together in real time, hand work off between humans and agents, and build one connected knowledge base instead of scattered copies. Same pricing - start with one user and add more as needed. \n\n---\n\n# Basic Memory\n\n### Your AI never forgets again.\n\nPick up right where you left off — in Claude, Codex, Cursor, ChatGPT, or\nanything that speaks [MCP](https://modelcontextprotocol.io). Your knowledge\nlives as Markdown files that both you and your AI can read, write, and\nsearch.\n\n- **Local-first.** Plain text on your disk. Forever.\n- **Two-way.** AI and humans write to the same files; sync keeps them in step.\n- **A real knowledge graph.** Observations and wikilinks compound into context.\n- **Semantic search.** Find notes by meaning, not just keywords, with optional\n  cross-encoder reranking for higher-quality vector and hybrid results.\n- **MCP-native.** Works with every major AI client and IDE.\n- **Progressive tool discovery.** Every tool is tagged with behavior hints\n  (read-only, destructive, idempotent) so agents pick the right tool on\n  demand — no wasted context trying things to see what they do.\n- **Cloud, optional.** Sync across devices when you want — never required.\n","version":"54b8d94b94cb8e4e526f438010ca771c5ad9f209","retrievedAt":"2026-10-14T20:23:54Z"},{"sourceUrl":"https://github.com/basicmachines-co/basic-memory/blob/54b8d94b94cb8e4e526f438010ca771c5ad9f209/README.md","section":"## What's New","quote":"## What's New\n\n- **Automatic updates.** Basic Memory keeps itself up to date for `uv tool`\n  and Homebrew installs; `bm update` triggers a manual check.\n- **Semantic vector search.** Find notes by meaning, not just keywords.\n  Hybrid full-text + vector ranking with FastEmbed embeddings, on SQLite or\n  Postgres.\n- **Optional search reranking.** Rescore the strongest vector and hybrid\n  candidates with a local FastEmbed cross-encoder or a LiteLLM-backed provider.\n- **Schema system.** Infer, validate, and diff the structure of your\n  knowledge base with `schema_infer`, `schema_validate`, `schema_diff`.\n- **Per-project cloud routing.** Route individual projects through the cloud\n  while others stay local, via API key (`bm project set-cloud`).\n- **Smarter editing.** `edit_note` append/prepend auto-creates notes when\n  missing; `write_note` guards against accidental overwrites.\n- **Richer search results.** Matched chunk text is included so the LLM gets\n  context, not just hits.\n- **FastMCP 3.0 + tool annotations.** Every tool ships with MCP behavior\n  hints (`readOnlyHint`, `destructiveHint`, `idempotentHint`,\n  `openWorldHint`) so agents can discover capabilities progressively at\n  runtime instead of guessing or burning tokens.\n- **CLI overhaul.** `--json` output for scripting, workspace-aware commands,\n  and an htop-inspired project dashboard.\n\nFull [CHANGELOG](CHANGELOG.md) for v0.18 → v0.20.\n","version":"54b8d94b94cb8e4e526f438010ca771c5ad9f209","retrievedAt":"2026-10-14T20:23:54Z"},{"sourceUrl":"https://github.com/basicmachines-co/basic-memory/blob/54b8d94b94cb8e4e526f438010ca771c5ad9f209/README.md","section":"## Development","quote":"## Development\n\nBasic Memory supports SQLite (default, fast, no Docker) and Postgres\n(via testcontainers — Docker required).\n\n```bash\njust install          # Install with dev dependencies\njust test-sqlite      # All tests, SQLite\njust test-postgres    # All tests, Postgres (testcontainers)\njust test             # Both backends\njust fast-check       # fix/format/typecheck + impacted tests\njust doctor           # File <-> DB consistency check (temp config)\njust package-check    # Claude Code, skills, Hermes, OpenClaw package checks\njust lint\njust typecheck        # Pyright (primary)\njust typecheck-ty     # ty (supplemental)\njust format\njust check            # All quality checks\njust migration \"msg\"  # New Alembic migration\n```\n\nTests use pytest markers: `windows`, `benchmark`, `smoke`. See\n[justfile](justfile) for the full list.\n\nContributions welcome — see [CONTRIBUTING.md](CONTRIBUTING.md).\n","version":"54b8d94b94cb8e4e526f438010ca771c5ad9f209","retrievedAt":"2026-10-14T20:23:54Z"}],"version":"54b8d94b94cb8e4e526f438010ca771c5ad9f209","retrievedAt":"2026-10-14T20:23:54Z","claimId":"897595329:explanation","basis":"official_documentation","evidenceStatus":"Documented"},{"key":"mechanism","text":"Markdown files sync with a searchable knowledge graph backed by SQLite or Postgres and exposed through MCP tools.","sourceUrls":["https://github.com/basicmachines-co/basic-memory/blob/54b8d94b94cb8e4e526f438010ca771c5ad9f209/README.md"],"quote":"# Basic Memory Teams is now available!\n\nGive your team a single, shared cloud workspace. Knowledge isn't confined to one person — anything a teammate writes is immediately available to everyone else and to their AI assistants. \nEdit a note together in real time, hand work off between humans and agents, and build one connected knowledge base instead of scattered copies. Same pricing - start with one user and add more as needed. \n\n---\n\n# Basic Memory\n\n### Your AI never forgets again.\n\nPick up right where you left off — in Claude, Codex, Cursor, ChatGPT, or\nanything that speaks [MCP](https://modelcontextprotocol.io). Your knowledge\nlives as Markdown files that both you and your AI can read, write, and\nsearch.\n\n- **Local-first.** Plain text on your disk. Forever.\n- **Two-way.** AI and humans write to the same files; sync keeps them in step.\n- **A real knowledge graph.** Observations and wikilinks compound into context.\n- **Semantic search.** Find notes by meaning, not just keywords, with optional\n  cross-encoder reranking for higher-quality vector and hybrid results.\n- **MCP-native.** Works with every major AI client and IDE.\n- **Progressive tool discovery.** Every tool is tagged with behavior hints\n  (read-only, destructive, idempotent) so agents pick the right tool on\n  demand — no wasted context trying things to see what they do.\n- **Cloud, optional.** Sync across devices when you want — never required.\n","retainedExcerpts":[{"sourceUrl":"https://github.com/basicmachines-co/basic-memory/blob/54b8d94b94cb8e4e526f438010ca771c5ad9f209/README.md","section":"# Basic Memory","quote":"# Basic Memory Teams is now available!\n\nGive your team a single, shared cloud workspace. Knowledge isn't confined to one person — anything a teammate writes is immediately available to everyone else and to their AI assistants. \nEdit a note together in real time, hand work off between humans and agents, and build one connected knowledge base instead of scattered copies. Same pricing - start with one user and add more as needed. \n\n---\n\n# Basic Memory\n\n### Your AI never forgets again.\n\nPick up right where you left off — in Claude, Codex, Cursor, ChatGPT, or\nanything that speaks [MCP](https://modelcontextprotocol.io). Your knowledge\nlives as Markdown files that both you and your AI can read, write, and\nsearch.\n\n- **Local-first.** Plain text on your disk. Forever.\n- **Two-way.** AI and humans write to the same files; sync keeps them in step.\n- **A real knowledge graph.** Observations and wikilinks compound into context.\n- **Semantic search.** Find notes by meaning, not just keywords, with optional\n  cross-encoder reranking for higher-quality vector and hybrid results.\n- **MCP-native.** Works with every major AI client and IDE.\n- **Progressive tool discovery.** Every tool is tagged with behavior hints\n  (read-only, destructive, idempotent) so agents pick the right tool on\n  demand — no wasted context trying things to see what they do.\n- **Cloud, optional.** Sync across devices when you want — never required.\n","version":"54b8d94b94cb8e4e526f438010ca771c5ad9f209","retrievedAt":"2026-10-14T20:23:54Z"},{"sourceUrl":"https://github.com/basicmachines-co/basic-memory/blob/54b8d94b94cb8e4e526f438010ca771c5ad9f209/README.md","section":"## What's New","quote":"## What's New\n\n- **Automatic updates.** Basic Memory keeps itself up to date for `uv tool`\n  and Homebrew installs; `bm update` triggers a manual check.\n- **Semantic vector search.** Find notes by meaning, not just keywords.\n  Hybrid full-text + vector ranking with FastEmbed embeddings, on SQLite or\n  Postgres.\n- **Optional search reranking.** Rescore the strongest vector and hybrid\n  candidates with a local FastEmbed cross-encoder or a LiteLLM-backed provider.\n- **Schema system.** Infer, validate, and diff the structure of your\n  knowledge base with `schema_infer`, `schema_validate`, `schema_diff`.\n- **Per-project cloud routing.** Route individual projects through the cloud\n  while others stay local, via API key (`bm project set-cloud`).\n- **Smarter editing.** `edit_note` append/prepend auto-creates notes when\n  missing; `write_note` guards against accidental overwrites.\n- **Richer search results.** Matched chunk text is included so the LLM gets\n  context, not just hits.\n- **FastMCP 3.0 + tool annotations.** Every tool ships with MCP behavior\n  hints (`readOnlyHint`, `destructiveHint`, `idempotentHint`,\n  `openWorldHint`) so agents can discover capabilities progressively at\n  runtime instead of guessing or burning tokens.\n- **CLI overhaul.** `--json` output for scripting, workspace-aware commands,\n  and an htop-inspired project dashboard.\n\nFull [CHANGELOG](CHANGELOG.md) for v0.18 → v0.20.\n","version":"54b8d94b94cb8e4e526f438010ca771c5ad9f209","retrievedAt":"2026-10-14T20:23:54Z"},{"sourceUrl":"https://github.com/basicmachines-co/basic-memory/blob/54b8d94b94cb8e4e526f438010ca771c5ad9f209/README.md","section":"## Development","quote":"## Development\n\nBasic Memory supports SQLite (default, fast, no Docker) and Postgres\n(via testcontainers — Docker required).\n\n```bash\njust install          # Install with dev dependencies\njust test-sqlite      # All tests, SQLite\njust test-postgres    # All tests, Postgres (testcontainers)\njust test             # Both backends\njust fast-check       # fix/format/typecheck + impacted tests\njust doctor           # File <-> DB consistency check (temp config)\njust package-check    # Claude Code, skills, Hermes, OpenClaw package checks\njust lint\njust typecheck        # Pyright (primary)\njust typecheck-ty     # ty (supplemental)\njust format\njust check            # All quality checks\njust migration \"msg\"  # New Alembic migration\n```\n\nTests use pytest markers: `windows`, `benchmark`, `smoke`. See\n[justfile](justfile) for the full list.\n\nContributions welcome — see [CONTRIBUTING.md](CONTRIBUTING.md).\n","version":"54b8d94b94cb8e4e526f438010ca771c5ad9f209","retrievedAt":"2026-10-14T20:23:54Z"}],"version":"54b8d94b94cb8e4e526f438010ca771c5ad9f209","retrievedAt":"2026-10-14T20:23:54Z","claimId":"897595329:mechanism","basis":"official_documentation","evidenceStatus":"Documented"}],"problemsSolved":["Carry project decisions into the next AI conversation as editable notes."],"useCases":["Developers and researchers who revisit the same projects in different AI clients"],"requirements":["Free local AGPL-3.0 software; requires Python 3.12+ and an MCP-compatible client. Current uv instructions require prerelease dependencies. Model downloads and client/model usage are separate; optional remote reranking sends data to its provider. Cloud sync is a paid service with a trial. Local mode does not by itself disable telemetry; use the documented opt-out when needed.","Free local AGPL-3.0 software; requires Python 3.12+ and an MCP-compatible client. Current uv instructions require prerelease dependencies. Model downloads and client/model usage are separate; optional remote reranking sends data to its provider. Cloud sync is a paid service with a trial. Local mode does not by itself disable telemetry; use the documented opt-out when needed."],"caveats":["Free local AGPL-3.0 software; requires Python 3.12+ and an MCP-compatible client. Current uv instructions require prerelease dependencies. Model downloads and client/model usage are separate; optional remote reranking sends data to its provider. Cloud sync is a paid service with a trial. Local mode does not by itself disable telemetry; use the documented opt-out when needed.","Free local AGPL-3.0 software; requires Python 3.12+ and an MCP-compatible client. 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Press Ctrl+C for a graceful shutdown; restart to resume from where you left off.\n- 📡 **Streaming Mode**: Stream scraped items as they arrive via `async for item in spider.stream()` with real-time stats - ideal for UI, pipelines, and long-running crawls.\n- 🛡️ **Blocked Request Detection**: Automatic detection and retry of blocked requests with customizable logic.\n- 🚦 **AutoThrottle**: Stop guessing delays. The spider tunes the delay of each domain on its own from how fast the website responds, then doubles it (or waits what `Retry-After` asks) whenever the website starts blocking or rate-limiting you, and speeds back up once it stops.\n- 🤖 **Robots.txt Compliance**: Optional `robots_txt_obey` flag that respects `Disallow`, `Crawl-delay`, and `Request-rate` directives with per-domain caching.\n- 🧪 **Development Mode**: Cache responses to disk on the first run and replay them on subsequent runs - iterate on your `parse()` logic without re-hitting the target servers.\n- 🧩 **Ready-made Spider Templates**: Skip the boilerplate with `CrawlSpider` for rule-based link following, `SitemapSpider` for sitemap/robots.txt-driven crawls, `XMLFeedSpider`/`CSVFeedSpider` for iterating XML/RSS and CSV feeds, and `ShopifySpider` to pull every product out of any Shopify store through its JSON API, one item per variant.\n- 🔗 **Link Extraction**: A standalone `LinkExtractor` primitive with allow/deny patterns, domain filters, CSS/XPath scoping, extension filtering, and canonicalization - use it inside the templates or on its own.\n- 📦 **Built-in Export**: Export results through hooks and your own pipeline or the built-in JSON/JSONL/CSV/XML exporters with `result.items.to_json()`, `to_jsonl()`, `to_csv()`, and `to_xml()`.\n\n### Advanced Websites Fetching with Session Support\n- **HTTP Requests**: Fast and stealthy HTTP requests with the `Fetcher` class. Can impersonate browsers' TLS fingerprint, headers, and use HTTP/3.\n- **Dynamic Loading**: Fetch dynamic websites with full browser automation through the `DynamicFetcher` class supporting Playwright's Chromium and Google's Chrome.\n- **Anti-bot Bypass**: Advanced stealth capabilities with `StealthyFetcher` and fingerprint spoofing. Can easily bypass all types of Cloudflare's Turnstile/Interstitial with automation.\n- **Session Management**: Persistent session support with `FetcherSession`, `StealthySession`, and `DynamicSession` classes for cookie and state management across requests.\n- **Proxy Rotation**: Built-in `ProxyRotator` with cyclic or custom rotation strategies across all session types, plus per-request proxy overrides.\n- **Domain & Ad Blocking**: Block requests to specific domains (and their subdomains) or enable built-in ad blocking (~3,500 known ad/tracker domains) in browser-based fetchers.\n- **DNS Leak Prevention**: Optional DNS-over-HTTPS support to route DNS queries through Cloudflare's DoH, preventing DNS leaks when using proxies.\n- **Remote Browsers**: Instead of launching a browser locally, connect to one that's already running through CDP with `cdp_url`, whether it's on the same machine, another host, or a managed browser provider. You can also point any browser fetcher at your own Chromium build with `executable_path`.\n- **Background API Capture**: Pass a URL pattern to `capture_xhr`, and all matching XHR/fetch responses the page makes while loading are collected for you as `Response` objects in `response.captured_xhr` - grab a site's API data without reverse-engineering the requests yourself.\n- **Async Support**: Complete async support across all fetchers and dedicated async session classes.\n\n### Adaptive Scraping\n- 🔄 **Smart Element Tracking**: Relocate elements after website changes using intelligent similarity algorithms.\n- 🎯 **Smart Flexible Selection**: CSS selectors, XPath selectors, filter-based search, text search, regex search, and more.\n- 🔍 **Find Similar Elements**: Automatically locate elements similar to found elements.\n\n### AI Features\n- 🤖 **MCP Server**: Let AI chatbots and agents (Claude/Cursor/etc) scrape through Scrapling with one-shot or session-based tools covering plain HTTP requests (any method), browser fetches, and stealth fetches that bypass Cloudflare. Pages are narrowed with CSS selectors and stripped of prompt-injection content before the AI sees them, so the agent reads less, costs less, and can't be hijacked by hidden text. Screenshots, remote browsers over CDP, and a secure-by-default HTTP transport are included. ([demo video](https://www.youtube.com/watch?v=qyFk3ZNwOxE))\n- 🧠 **Agent Skill**: A ready-to-install [Agent Skill](https://scrapling.readthedocs.io/en/latest/ai/agent-skill.html) that teaches coding agents the whole library, so the code they write with Scrapling matches the current API instead of guessing.\n- 📚 **RAG-ready Markdown**: Turn any page into clean, sanitized, LLM-ready Markdown with one line (`page.markdown()`), or crawl a whole website into a Markdown corpus with the `SiteToMarkdownSpider` template, all without an LLM in the loop. ([docs](https://scrapling.readthedocs.io/en/latest/ai/building-rag-systems.html))\n\n### High-Performance & battle-tested Architecture\n- 🚀 **Lightning Fast**: Optimized performance outperforming most Python scraping libraries.\n- 🔋 **Memory Efficient**: Optimized data structures and lazy loading for a minimal memory footprint.\n- ⚡ **Fast JSON Serialization**: 10x faster than the standard library.\n- 🏗️ **Battle tested**: Not only does Scrapling have 92% test coverage and full type hints coverage, but it has been used daily by hundreds of Web Scrapers over the past year.\n\n### Developer/Web Scraper Friendly Experience\n- 🎯 **Interactive Web Scraping Shell**: Optional built-in IPython shell with Scrapling integration, shortcuts, and new tools to speed up Web Scraping scripts development, like converting curl requests to Scrapling requests and viewing requests results in your browser.\n- 🚀 **Use it directly from the Terminal**: Optionally, you can use Scrapling to scrape a URL without writing a single line of code!\n- 🛠️ **Rich Navigation API**: Advanced DOM traversal with parent, sibling, and child navigation methods.\n- 🧬 **Enhanced Text Processing**: Built-in regex, cleaning methods, and optimized string operations.\n- 📝 **Auto Selector Generation**: Generate robust CSS/XPath selectors for any element.\n- 🔌 **Familiar API**: Similar to Scrapy/BeautifulSoup with the same pseudo-elements used in Scrapy/Parsel.\n- 🤝 **Drop-in Scrapy Integration**: Already invested in Scrapy? Decorate any callback with `scrapling_response` to parse the responses you already fetch with Scrapling's parser, no rewrite needed.\n- 📘 **Complete Type Coverage**: Full type hints for excellent IDE support and code completion. The entire codebase is automatically scanned with **PyRight** and **MyPy** with each change.\n- 🔋 **Ready Docker image**: With each release, a Docker image containing all browsers is automatically built and pushed.\n","retainedExcerpts":[{"sourceUrl":"https://github.com/D4Vinci/Scrapling/blob/7a684934907a8c7feaafe9ff1ccfd9d45cc26faf/README.md","section":"### Spiders","quote":"### Spiders - A Full Crawling Framework\n- 🕷️ **Scrapy-like Spider API**: Define spiders with `start_urls`, async `parse` callbacks, and `Request`/`Response` objects.\n- ⚡ **Concurrent Crawling**: Configurable concurrency limits, per-domain throttling, and download delays.\n- 🔄 **Multi-Session Support**: Unified interface for HTTP requests, and stealthy headless browsers in a single spider - route requests to different sessions by ID.\n- 💾 **Pause & Resume**: Checkpoint-based crawl persistence. Press Ctrl+C for a graceful shutdown; restart to resume from where you left off.\n- 📡 **Streaming Mode**: Stream scraped items as they arrive via `async for item in spider.stream()` with real-time stats - ideal for UI, pipelines, and long-running crawls.\n- 🛡️ **Blocked Request Detection**: Automatic detection and retry of blocked requests with customizable logic.\n- 🚦 **AutoThrottle**: Stop guessing delays. The spider tunes the delay of each domain on its own from how fast the website responds, then doubles it (or waits what `Retry-After` asks) whenever the website starts blocking or rate-limiting you, and speeds back up once it stops.\n- 🤖 **Robots.txt Compliance**: Optional `robots_txt_obey` flag that respects `Disallow`, `Crawl-delay`, and `Request-rate` directives with per-domain caching.\n- 🧪 **Development Mode**: Cache responses to disk on the first run and replay them on subsequent runs - iterate on your `parse()` logic without re-hitting the target servers.\n- 🧩 **Ready-made Spider Templates**: Skip the boilerplate with `CrawlSpider` for rule-based link following, `SitemapSpider` for sitemap/robots.txt-driven crawls, `XMLFeedSpider`/`CSVFeedSpider` for iterating XML/RSS and CSV feeds, and `ShopifySpider` to pull every product out of any Shopify store through its JSON API, one item per variant.\n- 🔗 **Link Extraction**: A standalone `LinkExtractor` primitive with allow/deny patterns, domain filters, CSS/XPath scoping, extension filtering, and canonicalization - use it inside the templates or on its own.\n- 📦 **Built-in Export**: Export results through hooks and your own pipeline or the built-in JSON/JSONL/CSV/XML exporters with `result.items.to_json()`, `to_jsonl()`, `to_csv()`, and `to_xml()`.\n\n### Advanced Websites Fetching with Session Support\n- **HTTP Requests**: Fast and stealthy HTTP requests with the `Fetcher` class. Can impersonate browsers' TLS fingerprint, headers, and use HTTP/3.\n- **Dynamic Loading**: Fetch dynamic websites with full browser automation through the `DynamicFetcher` class supporting Playwright's Chromium and Google's Chrome.\n- **Anti-bot Bypass**: Advanced stealth capabilities with `StealthyFetcher` and fingerprint spoofing. Can easily bypass all types of Cloudflare's Turnstile/Interstitial with automation.\n- **Session Management**: Persistent session support with `FetcherSession`, `StealthySession`, and `DynamicSession` classes for cookie and state management across requests.\n- **Proxy Rotation**: Built-in `ProxyRotator` with cyclic or custom rotation strategies across all session types, plus per-request proxy overrides.\n- **Domain & Ad Blocking**: Block requests to specific domains (and their subdomains) or enable built-in ad blocking (~3,500 known ad/tracker domains) in browser-based fetchers.\n- **DNS Leak Prevention**: Optional DNS-over-HTTPS support to route DNS queries through Cloudflare's DoH, preventing DNS leaks when using proxies.\n- **Remote Browsers**: Instead of launching a browser locally, connect to one that's already running through CDP with `cdp_url`, whether it's on the same machine, another host, or a managed browser provider. You can also point any browser fetcher at your own Chromium build with `executable_path`.\n- **Background API Capture**: Pass a URL pattern to `capture_xhr`, and all matching XHR/fetch responses the page makes while loading are collected for you as `Response` objects in `response.captured_xhr` - grab a site's API data without reverse-engineering the requests yourself.\n- **Async Support**: Complete async support across all fetchers and dedicated async session classes.\n\n### Adaptive Scraping\n- 🔄 **Smart Element Tracking**: Relocate elements after website changes using intelligent similarity algorithms.\n- 🎯 **Smart Flexible Selection**: CSS selectors, XPath selectors, filter-based search, text search, regex search, and more.\n- 🔍 **Find Similar Elements**: Automatically locate elements similar to found elements.\n\n### AI Features\n- 🤖 **MCP Server**: Let AI chatbots and agents (Claude/Cursor/etc) scrape through Scrapling with one-shot or session-based tools covering plain HTTP requests (any method), browser fetches, and stealth fetches that bypass Cloudflare. Pages are narrowed with CSS selectors and stripped of prompt-injection content before the AI sees them, so the agent reads less, costs less, and can't be hijacked by hidden text. Screenshots, remote browsers over CDP, and a secure-by-default HTTP transport are included. ([demo video](https://www.youtube.com/watch?v=qyFk3ZNwOxE))\n- 🧠 **Agent Skill**: A ready-to-install [Agent Skill](https://scrapling.readthedocs.io/en/latest/ai/agent-skill.html) that teaches coding agents the whole library, so the code they write with Scrapling matches the current API instead of guessing.\n- 📚 **RAG-ready Markdown**: Turn any page into clean, sanitized, LLM-ready Markdown with one line (`page.markdown()`), or crawl a whole website into a Markdown corpus with the `SiteToMarkdownSpider` template, all without an LLM in the loop. ([docs](https://scrapling.readthedocs.io/en/latest/ai/building-rag-systems.html))\n\n### High-Performance & battle-tested Architecture\n- 🚀 **Lightning Fast**: Optimized performance outperforming most Python scraping libraries.\n- 🔋 **Memory Efficient**: Optimized data structures and lazy loading for a minimal memory footprint.\n- ⚡ **Fast JSON Serialization**: 10x faster than the standard library.\n- 🏗️ **Battle tested**: Not only does Scrapling have 92% test coverage and full type hints coverage, but it has been used daily by hundreds of Web Scrapers over the past year.\n\n### Developer/Web Scraper Friendly Experience\n- 🎯 **Interactive Web Scraping Shell**: Optional built-in IPython shell with Scrapling integration, shortcuts, and new tools to speed up Web Scraping scripts development, like converting curl requests to Scrapling requests and viewing requests results in your browser.\n- 🚀 **Use it directly from the Terminal**: Optionally, you can use Scrapling to scrape a URL without writing a single line of code!\n- 🛠️ **Rich Navigation API**: Advanced DOM traversal with parent, sibling, and child navigation methods.\n- 🧬 **Enhanced Text Processing**: Built-in regex, cleaning methods, and optimized string operations.\n- 📝 **Auto Selector Generation**: Generate robust CSS/XPath selectors for any element.\n- 🔌 **Familiar API**: Similar to Scrapy/BeautifulSoup with the same pseudo-elements used in Scrapy/Parsel.\n- 🤝 **Drop-in Scrapy Integration**: Already invested in Scrapy? Decorate any callback with `scrapling_response` to parse the responses you already fetch with Scrapling's parser, no rewrite needed.\n- 📘 **Complete Type Coverage**: Full type hints for excellent IDE support and code completion. The entire codebase is automatically scanned with **PyRight** and **MyPy** with each change.\n- 🔋 **Ready Docker image**: With each release, a Docker image containing all browsers is automatically built and pushed.\n","version":"7a684934907a8c7feaafe9ff1ccfd9d45cc26faf","retrievedAt":"2026-10-14T20:23:57Z"},{"sourceUrl":"https://github.com/D4Vinci/Scrapling/blob/7a684934907a8c7feaafe9ff1ccfd9d45cc26faf/README.md","section":"### Adaptive Scraping","quote":"### Adaptive Scraping\n- 🔄 **Smart Element Tracking**: Relocate elements after website changes using intelligent similarity algorithms.\n- 🎯 **Smart Flexible Selection**: CSS selectors, XPath selectors, filter-based search, text search, regex search, and more.\n- 🔍 **Find Similar Elements**: Automatically locate elements similar to found elements.\n\n### AI Features\n- 🤖 **MCP Server**: Let AI chatbots and agents (Claude/Cursor/etc) scrape through Scrapling with one-shot or session-based tools covering plain HTTP requests (any method), browser fetches, and stealth fetches that bypass Cloudflare. Pages are narrowed with CSS selectors and stripped of prompt-injection content before the AI sees them, so the agent reads less, costs less, and can't be hijacked by hidden text. Screenshots, remote browsers over CDP, and a secure-by-default HTTP transport are included. ([demo video](https://www.youtube.com/watch?v=qyFk3ZNwOxE))\n- 🧠 **Agent Skill**: A ready-to-install [Agent Skill](https://scrapling.readthedocs.io/en/latest/ai/agent-skill.html) that teaches coding agents the whole library, so the code they write with Scrapling matches the current API instead of guessing.\n- 📚 **RAG-ready Markdown**: Turn any page into clean, sanitized, LLM-ready Markdown with one line (`page.markdown()`), or crawl a whole website into a Markdown corpus with the `SiteToMarkdownSpider` template, all without an LLM in the loop. ([docs](https://scrapling.readthedocs.io/en/latest/ai/building-rag-systems.html))\n\n### High-Performance & battle-tested Architecture\n- 🚀 **Lightning Fast**: Optimized performance outperforming most Python scraping libraries.\n- 🔋 **Memory Efficient**: Optimized data structures and lazy loading for a minimal memory footprint.\n- ⚡ **Fast JSON Serialization**: 10x faster than the standard library.\n- 🏗️ **Battle tested**: Not only does Scrapling have 92% test coverage and full type hints coverage, but it has been used daily by hundreds of Web Scrapers over the past year.\n\n### Developer/Web Scraper Friendly Experience\n- 🎯 **Interactive Web Scraping Shell**: Optional built-in IPython shell with Scrapling integration, shortcuts, and new tools to speed up Web Scraping scripts development, like converting curl requests to Scrapling requests and viewing requests results in your browser.\n- 🚀 **Use it directly from the Terminal**: Optionally, you can use Scrapling to scrape a URL without writing a single line of code!\n- 🛠️ **Rich Navigation API**: Advanced DOM traversal with parent, sibling, and child navigation methods.\n- 🧬 **Enhanced Text Processing**: Built-in regex, cleaning methods, and optimized string operations.\n- 📝 **Auto Selector Generation**: Generate robust CSS/XPath selectors for any element.\n- 🔌 **Familiar API**: Similar to Scrapy/BeautifulSoup with the same pseudo-elements used in Scrapy/Parsel.\n- 🤝 **Drop-in Scrapy Integration**: Already invested in Scrapy? Decorate any callback with `scrapling_response` to parse the responses you already fetch with Scrapling's parser, no rewrite needed.\n- 📘 **Complete Type Coverage**: Full type hints for excellent IDE support and code completion. The entire codebase is automatically scanned with **PyRight** and **MyPy** with each change.\n- 🔋 **Ready Docker image**: With each release, a Docker image containing all browsers is automatically built and pushed.\n","version":"7a684934907a8c7feaafe9ff1ccfd9d45cc26faf","retrievedAt":"2026-10-14T20:23:57Z"},{"sourceUrl":"https://github.com/D4Vinci/Scrapling/blob/7a684934907a8c7feaafe9ff1ccfd9d45cc26faf/README.md","section":"### AI Features","quote":"### AI Features\n- 🤖 **MCP Server**: Let AI chatbots and agents (Claude/Cursor/etc) scrape through Scrapling with one-shot or session-based tools covering plain HTTP requests (any method), browser fetches, and stealth fetches that bypass Cloudflare. Pages are narrowed with CSS selectors and stripped of prompt-injection content before the AI sees them, so the agent reads less, costs less, and can't be hijacked by hidden text. Screenshots, remote browsers over CDP, and a secure-by-default HTTP transport are included. ([demo video](https://www.youtube.com/watch?v=qyFk3ZNwOxE))\n- 🧠 **Agent Skill**: A ready-to-install [Agent Skill](https://scrapling.readthedocs.io/en/latest/ai/agent-skill.html) that teaches coding agents the whole library, so the code they write with Scrapling matches the current API instead of guessing.\n- 📚 **RAG-ready Markdown**: Turn any page into clean, sanitized, LLM-ready Markdown with one line (`page.markdown()`), or crawl a whole website into a Markdown corpus with the `SiteToMarkdownSpider` template, all without an LLM in the loop. ([docs](https://scrapling.readthedocs.io/en/latest/ai/building-rag-systems.html))\n\n### High-Performance & battle-tested Architecture\n- 🚀 **Lightning Fast**: Optimized performance outperforming most Python scraping libraries.\n- 🔋 **Memory Efficient**: Optimized data structures and lazy loading for a minimal memory footprint.\n- ⚡ **Fast JSON Serialization**: 10x faster than the standard library.\n- 🏗️ **Battle tested**: Not only does Scrapling have 92% test coverage and full type hints coverage, but it has been used daily by hundreds of Web Scrapers over the past year.\n\n### Developer/Web Scraper Friendly Experience\n- 🎯 **Interactive Web Scraping Shell**: Optional built-in IPython shell with Scrapling integration, shortcuts, and new tools to speed up Web Scraping scripts development, like converting curl requests to Scrapling requests and viewing requests results in your browser.\n- 🚀 **Use it directly from the Terminal**: Optionally, you can use Scrapling to scrape a URL without writing a single line of code!\n- 🛠️ **Rich Navigation API**: Advanced DOM traversal with parent, sibling, and child navigation methods.\n- 🧬 **Enhanced Text Processing**: Built-in regex, cleaning methods, and optimized string operations.\n- 📝 **Auto Selector Generation**: Generate robust CSS/XPath selectors for any element.\n- 🔌 **Familiar API**: Similar to Scrapy/BeautifulSoup with the same pseudo-elements used in Scrapy/Parsel.\n- 🤝 **Drop-in Scrapy Integration**: Already invested in Scrapy? Decorate any callback with `scrapling_response` to parse the responses you already fetch with Scrapling's parser, no rewrite needed.\n- 📘 **Complete Type Coverage**: Full type hints for excellent IDE support and code completion. The entire codebase is automatically scanned with **PyRight** and **MyPy** with each change.\n- 🔋 **Ready Docker image**: With each release, a Docker image containing all browsers is automatically built and pushed.\n","version":"7a684934907a8c7feaafe9ff1ccfd9d45cc26faf","retrievedAt":"2026-10-14T20:23:57Z"}],"version":"7a684934907a8c7feaafe9ff1ccfd9d45cc26faf","retrievedAt":"2026-10-14T20:23:57Z","claimId":"872119017:title","basis":"official_documentation","evidenceStatus":"Documented"},{"key":"explanation","text":"Scrapling combines HTML parsing, HTTP and browser fetching, and a crawler that can checkpoint and resume. Adaptive element matching can relocate selected content after a page changes, while CLI and MCP tools expose extraction to scripts and compatible agents.","sourceUrls":["https://github.com/D4Vinci/Scrapling/blob/7a684934907a8c7feaafe9ff1ccfd9d45cc26faf/README.md"],"quote":"### Spiders - A Full Crawling Framework\n- 🕷️ **Scrapy-like Spider API**: Define spiders with `start_urls`, async `parse` callbacks, and `Request`/`Response` objects.\n- ⚡ **Concurrent Crawling**: Configurable concurrency limits, per-domain throttling, and download delays.\n- 🔄 **Multi-Session Support**: Unified interface for HTTP requests, and stealthy headless browsers in a single spider - route requests to different sessions by ID.\n- 💾 **Pause & Resume**: Checkpoint-based crawl persistence. Press Ctrl+C for a graceful shutdown; restart to resume from where you left off.\n- 📡 **Streaming Mode**: Stream scraped items as they arrive via `async for item in spider.stream()` with real-time stats - ideal for UI, pipelines, and long-running crawls.\n- 🛡️ **Blocked Request Detection**: Automatic detection and retry of blocked requests with customizable logic.\n- 🚦 **AutoThrottle**: Stop guessing delays. The spider tunes the delay of each domain on its own from how fast the website responds, then doubles it (or waits what `Retry-After` asks) whenever the website starts blocking or rate-limiting you, and speeds back up once it stops.\n- 🤖 **Robots.txt Compliance**: Optional `robots_txt_obey` flag that respects `Disallow`, `Crawl-delay`, and `Request-rate` directives with per-domain caching.\n- 🧪 **Development Mode**: Cache responses to disk on the first run and replay them on subsequent runs - iterate on your `parse()` logic without re-hitting the target servers.\n- 🧩 **Ready-made Spider Templates**: Skip the boilerplate with `CrawlSpider` for rule-based link following, `SitemapSpider` for sitemap/robots.txt-driven crawls, `XMLFeedSpider`/`CSVFeedSpider` for iterating XML/RSS and CSV feeds, and `ShopifySpider` to pull every product out of any Shopify store through its JSON API, one item per variant.\n- 🔗 **Link Extraction**: A standalone `LinkExtractor` primitive with allow/deny patterns, domain filters, CSS/XPath scoping, extension filtering, and canonicalization - use it inside the templates or on its own.\n- 📦 **Built-in Export**: Export results through hooks and your own pipeline or the built-in JSON/JSONL/CSV/XML exporters with `result.items.to_json()`, `to_jsonl()`, `to_csv()`, and `to_xml()`.\n\n### Advanced Websites Fetching with Session Support\n- **HTTP Requests**: Fast and stealthy HTTP requests with the `Fetcher` class. Can impersonate browsers' TLS fingerprint, headers, and use HTTP/3.\n- **Dynamic Loading**: Fetch dynamic websites with full browser automation through the `DynamicFetcher` class supporting Playwright's Chromium and Google's Chrome.\n- **Anti-bot Bypass**: Advanced stealth capabilities with `StealthyFetcher` and fingerprint spoofing. Can easily bypass all types of Cloudflare's Turnstile/Interstitial with automation.\n- **Session Management**: Persistent session support with `FetcherSession`, `StealthySession`, and `DynamicSession` classes for cookie and state management across requests.\n- **Proxy Rotation**: Built-in `ProxyRotator` with cyclic or custom rotation strategies across all session types, plus per-request proxy overrides.\n- **Domain & Ad Blocking**: Block requests to specific domains (and their subdomains) or enable built-in ad blocking (~3,500 known ad/tracker domains) in browser-based fetchers.\n- **DNS Leak Prevention**: Optional DNS-over-HTTPS support to route DNS queries through Cloudflare's DoH, preventing DNS leaks when using proxies.\n- **Remote Browsers**: Instead of launching a browser locally, connect to one that's already running through CDP with `cdp_url`, whether it's on the same machine, another host, or a managed browser provider. You can also point any browser fetcher at your own Chromium build with `executable_path`.\n- **Background API Capture**: Pass a URL pattern to `capture_xhr`, and all matching XHR/fetch responses the page makes while loading are collected for you as `Response` objects in `response.captured_xhr` - grab a site's API data without reverse-engineering the requests yourself.\n- **Async Support**: Complete async support across all fetchers and dedicated async session classes.\n\n### Adaptive Scraping\n- 🔄 **Smart Element Tracking**: Relocate elements after website changes using intelligent similarity algorithms.\n- 🎯 **Smart Flexible Selection**: CSS selectors, XPath selectors, filter-based search, text search, regex search, and more.\n- 🔍 **Find Similar Elements**: Automatically locate elements similar to found elements.\n\n### AI Features\n- 🤖 **MCP Server**: Let AI chatbots and agents (Claude/Cursor/etc) scrape through Scrapling with one-shot or session-based tools covering plain HTTP requests (any method), browser fetches, and stealth fetches that bypass Cloudflare. Pages are narrowed with CSS selectors and stripped of prompt-injection content before the AI sees them, so the agent reads less, costs less, and can't be hijacked by hidden text. Screenshots, remote browsers over CDP, and a secure-by-default HTTP transport are included. ([demo video](https://www.youtube.com/watch?v=qyFk3ZNwOxE))\n- 🧠 **Agent Skill**: A ready-to-install [Agent Skill](https://scrapling.readthedocs.io/en/latest/ai/agent-skill.html) that teaches coding agents the whole library, so the code they write with Scrapling matches the current API instead of guessing.\n- 📚 **RAG-ready Markdown**: Turn any page into clean, sanitized, LLM-ready Markdown with one line (`page.markdown()`), or crawl a whole website into a Markdown corpus with the `SiteToMarkdownSpider` template, all without an LLM in the loop. ([docs](https://scrapling.readthedocs.io/en/latest/ai/building-rag-systems.html))\n\n### High-Performance & battle-tested Architecture\n- 🚀 **Lightning Fast**: Optimized performance outperforming most Python scraping libraries.\n- 🔋 **Memory Efficient**: Optimized data structures and lazy loading for a minimal memory footprint.\n- ⚡ **Fast JSON Serialization**: 10x faster than the standard library.\n- 🏗️ **Battle tested**: Not only does Scrapling have 92% test coverage and full type hints coverage, but it has been used daily by hundreds of Web Scrapers over the past year.\n\n### Developer/Web Scraper Friendly Experience\n- 🎯 **Interactive Web Scraping Shell**: Optional built-in IPython shell with Scrapling integration, shortcuts, and new tools to speed up Web Scraping scripts development, like converting curl requests to Scrapling requests and viewing requests results in your browser.\n- 🚀 **Use it directly from the Terminal**: Optionally, you can use Scrapling to scrape a URL without writing a single line of code!\n- 🛠️ **Rich Navigation API**: Advanced DOM traversal with parent, sibling, and child navigation methods.\n- 🧬 **Enhanced Text Processing**: Built-in regex, cleaning methods, and optimized string operations.\n- 📝 **Auto Selector Generation**: Generate robust CSS/XPath selectors for any element.\n- 🔌 **Familiar API**: Similar to Scrapy/BeautifulSoup with the same pseudo-elements used in Scrapy/Parsel.\n- 🤝 **Drop-in Scrapy Integration**: Already invested in Scrapy? Decorate any callback with `scrapling_response` to parse the responses you already fetch with Scrapling's parser, no rewrite needed.\n- 📘 **Complete Type Coverage**: Full type hints for excellent IDE support and code completion. The entire codebase is automatically scanned with **PyRight** and **MyPy** with each change.\n- 🔋 **Ready Docker image**: With each release, a Docker image containing all browsers is automatically built and pushed.\n","retainedExcerpts":[{"sourceUrl":"https://github.com/D4Vinci/Scrapling/blob/7a684934907a8c7feaafe9ff1ccfd9d45cc26faf/README.md","section":"### Spiders","quote":"### Spiders - A Full Crawling Framework\n- 🕷️ **Scrapy-like Spider API**: Define spiders with `start_urls`, async `parse` callbacks, and `Request`/`Response` objects.\n- ⚡ **Concurrent Crawling**: Configurable concurrency limits, per-domain throttling, and download delays.\n- 🔄 **Multi-Session Support**: Unified interface for HTTP requests, and stealthy headless browsers in a single spider - route requests to different sessions by ID.\n- 💾 **Pause & Resume**: Checkpoint-based crawl persistence. Press Ctrl+C for a graceful shutdown; restart to resume from where you left off.\n- 📡 **Streaming Mode**: Stream scraped items as they arrive via `async for item in spider.stream()` with real-time stats - ideal for UI, pipelines, and long-running crawls.\n- 🛡️ **Blocked Request Detection**: Automatic detection and retry of blocked requests with customizable logic.\n- 🚦 **AutoThrottle**: Stop guessing delays. The spider tunes the delay of each domain on its own from how fast the website responds, then doubles it (or waits what `Retry-After` asks) whenever the website starts blocking or rate-limiting you, and speeds back up once it stops.\n- 🤖 **Robots.txt Compliance**: Optional `robots_txt_obey` flag that respects `Disallow`, `Crawl-delay`, and `Request-rate` directives with per-domain caching.\n- 🧪 **Development Mode**: Cache responses to disk on the first run and replay them on subsequent runs - iterate on your `parse()` logic without re-hitting the target servers.\n- 🧩 **Ready-made Spider Templates**: Skip the boilerplate with `CrawlSpider` for rule-based link following, `SitemapSpider` for sitemap/robots.txt-driven crawls, `XMLFeedSpider`/`CSVFeedSpider` for iterating XML/RSS and CSV feeds, and `ShopifySpider` to pull every product out of any Shopify store through its JSON API, one item per variant.\n- 🔗 **Link Extraction**: A standalone `LinkExtractor` primitive with allow/deny patterns, domain filters, CSS/XPath scoping, extension filtering, and canonicalization - use it inside the templates or on its own.\n- 📦 **Built-in Export**: Export results through hooks and your own pipeline or the built-in JSON/JSONL/CSV/XML exporters with `result.items.to_json()`, `to_jsonl()`, `to_csv()`, and `to_xml()`.\n\n### Advanced Websites Fetching with Session Support\n- **HTTP Requests**: Fast and stealthy HTTP requests with the `Fetcher` class. Can impersonate browsers' TLS fingerprint, headers, and use HTTP/3.\n- **Dynamic Loading**: Fetch dynamic websites with full browser automation through the `DynamicFetcher` class supporting Playwright's Chromium and Google's Chrome.\n- **Anti-bot Bypass**: Advanced stealth capabilities with `StealthyFetcher` and fingerprint spoofing. Can easily bypass all types of Cloudflare's Turnstile/Interstitial with automation.\n- **Session Management**: Persistent session support with `FetcherSession`, `StealthySession`, and `DynamicSession` classes for cookie and state management across requests.\n- **Proxy Rotation**: Built-in `ProxyRotator` with cyclic or custom rotation strategies across all session types, plus per-request proxy overrides.\n- **Domain & Ad Blocking**: Block requests to specific domains (and their subdomains) or enable built-in ad blocking (~3,500 known ad/tracker domains) in browser-based fetchers.\n- **DNS Leak Prevention**: Optional DNS-over-HTTPS support to route DNS queries through Cloudflare's DoH, preventing DNS leaks when using proxies.\n- **Remote Browsers**: Instead of launching a browser locally, connect to one that's already running through CDP with `cdp_url`, whether it's on the same machine, another host, or a managed browser provider. You can also point any browser fetcher at your own Chromium build with `executable_path`.\n- **Background API Capture**: Pass a URL pattern to `capture_xhr`, and all matching XHR/fetch responses the page makes while loading are collected for you as `Response` objects in `response.captured_xhr` - grab a site's API data without reverse-engineering the requests yourself.\n- **Async Support**: Complete async support across all fetchers and dedicated async session classes.\n\n### Adaptive Scraping\n- 🔄 **Smart Element Tracking**: Relocate elements after website changes using intelligent similarity algorithms.\n- 🎯 **Smart Flexible Selection**: CSS selectors, XPath selectors, filter-based search, text search, regex search, and more.\n- 🔍 **Find Similar Elements**: Automatically locate elements similar to found elements.\n\n### AI Features\n- 🤖 **MCP Server**: Let AI chatbots and agents (Claude/Cursor/etc) scrape through Scrapling with one-shot or session-based tools covering plain HTTP requests (any method), browser fetches, and stealth fetches that bypass Cloudflare. Pages are narrowed with CSS selectors and stripped of prompt-injection content before the AI sees them, so the agent reads less, costs less, and can't be hijacked by hidden text. Screenshots, remote browsers over CDP, and a secure-by-default HTTP transport are included. ([demo video](https://www.youtube.com/watch?v=qyFk3ZNwOxE))\n- 🧠 **Agent Skill**: A ready-to-install [Agent Skill](https://scrapling.readthedocs.io/en/latest/ai/agent-skill.html) that teaches coding agents the whole library, so the code they write with Scrapling matches the current API instead of guessing.\n- 📚 **RAG-ready Markdown**: Turn any page into clean, sanitized, LLM-ready Markdown with one line (`page.markdown()`), or crawl a whole website into a Markdown corpus with the `SiteToMarkdownSpider` template, all without an LLM in the loop. ([docs](https://scrapling.readthedocs.io/en/latest/ai/building-rag-systems.html))\n\n### High-Performance & battle-tested Architecture\n- 🚀 **Lightning Fast**: Optimized performance outperforming most Python scraping libraries.\n- 🔋 **Memory Efficient**: Optimized data structures and lazy loading for a minimal memory footprint.\n- ⚡ **Fast JSON Serialization**: 10x faster than the standard library.\n- 🏗️ **Battle tested**: Not only does Scrapling have 92% test coverage and full type hints coverage, but it has been used daily by hundreds of Web Scrapers over the past year.\n\n### Developer/Web Scraper Friendly Experience\n- 🎯 **Interactive Web Scraping Shell**: Optional built-in IPython shell with Scrapling integration, shortcuts, and new tools to speed up Web Scraping scripts development, like converting curl requests to Scrapling requests and viewing requests results in your browser.\n- 🚀 **Use it directly from the Terminal**: Optionally, you can use Scrapling to scrape a URL without writing a single line of code!\n- 🛠️ **Rich Navigation API**: Advanced DOM traversal with parent, sibling, and child navigation methods.\n- 🧬 **Enhanced Text Processing**: Built-in regex, cleaning methods, and optimized string operations.\n- 📝 **Auto Selector Generation**: Generate robust CSS/XPath selectors for any element.\n- 🔌 **Familiar API**: Similar to Scrapy/BeautifulSoup with the same pseudo-elements used in Scrapy/Parsel.\n- 🤝 **Drop-in Scrapy Integration**: Already invested in Scrapy? Decorate any callback with `scrapling_response` to parse the responses you already fetch with Scrapling's parser, no rewrite needed.\n- 📘 **Complete Type Coverage**: Full type hints for excellent IDE support and code completion. The entire codebase is automatically scanned with **PyRight** and **MyPy** with each change.\n- 🔋 **Ready Docker image**: With each release, a Docker image containing all browsers is automatically built and pushed.\n","version":"7a684934907a8c7feaafe9ff1ccfd9d45cc26faf","retrievedAt":"2026-10-14T20:23:57Z"},{"sourceUrl":"https://github.com/D4Vinci/Scrapling/blob/7a684934907a8c7feaafe9ff1ccfd9d45cc26faf/README.md","section":"### Adaptive Scraping","quote":"### Adaptive Scraping\n- 🔄 **Smart Element Tracking**: Relocate elements after website changes using intelligent similarity algorithms.\n- 🎯 **Smart Flexible Selection**: CSS selectors, XPath selectors, filter-based search, text search, regex search, and more.\n- 🔍 **Find Similar Elements**: Automatically locate elements similar to found elements.\n\n### AI Features\n- 🤖 **MCP Server**: Let AI chatbots and agents (Claude/Cursor/etc) scrape through Scrapling with one-shot or session-based tools covering plain HTTP requests (any method), browser fetches, and stealth fetches that bypass Cloudflare. Pages are narrowed with CSS selectors and stripped of prompt-injection content before the AI sees them, so the agent reads less, costs less, and can't be hijacked by hidden text. Screenshots, remote browsers over CDP, and a secure-by-default HTTP transport are included. ([demo video](https://www.youtube.com/watch?v=qyFk3ZNwOxE))\n- 🧠 **Agent Skill**: A ready-to-install [Agent Skill](https://scrapling.readthedocs.io/en/latest/ai/agent-skill.html) that teaches coding agents the whole library, so the code they write with Scrapling matches the current API instead of guessing.\n- 📚 **RAG-ready Markdown**: Turn any page into clean, sanitized, LLM-ready Markdown with one line (`page.markdown()`), or crawl a whole website into a Markdown corpus with the `SiteToMarkdownSpider` template, all without an LLM in the loop. ([docs](https://scrapling.readthedocs.io/en/latest/ai/building-rag-systems.html))\n\n### High-Performance & battle-tested Architecture\n- 🚀 **Lightning Fast**: Optimized performance outperforming most Python scraping libraries.\n- 🔋 **Memory Efficient**: Optimized data structures and lazy loading for a minimal memory footprint.\n- ⚡ **Fast JSON Serialization**: 10x faster than the standard library.\n- 🏗️ **Battle tested**: Not only does Scrapling have 92% test coverage and full type hints coverage, but it has been used daily by hundreds of Web Scrapers over the past year.\n\n### Developer/Web Scraper Friendly Experience\n- 🎯 **Interactive Web Scraping Shell**: Optional built-in IPython shell with Scrapling integration, shortcuts, and new tools to speed up Web Scraping scripts development, like converting curl requests to Scrapling requests and viewing requests results in your browser.\n- 🚀 **Use it directly from the Terminal**: Optionally, you can use Scrapling to scrape a URL without writing a single line of code!\n- 🛠️ **Rich Navigation API**: Advanced DOM traversal with parent, sibling, and child navigation methods.\n- 🧬 **Enhanced Text Processing**: Built-in regex, cleaning methods, and optimized string operations.\n- 📝 **Auto Selector Generation**: Generate robust CSS/XPath selectors for any element.\n- 🔌 **Familiar API**: Similar to Scrapy/BeautifulSoup with the same pseudo-elements used in Scrapy/Parsel.\n- 🤝 **Drop-in Scrapy Integration**: Already invested in Scrapy? Decorate any callback with `scrapling_response` to parse the responses you already fetch with Scrapling's parser, no rewrite needed.\n- 📘 **Complete Type Coverage**: Full type hints for excellent IDE support and code completion. The entire codebase is automatically scanned with **PyRight** and **MyPy** with each change.\n- 🔋 **Ready Docker image**: With each release, a Docker image containing all browsers is automatically built and pushed.\n","version":"7a684934907a8c7feaafe9ff1ccfd9d45cc26faf","retrievedAt":"2026-10-14T20:23:57Z"},{"sourceUrl":"https://github.com/D4Vinci/Scrapling/blob/7a684934907a8c7feaafe9ff1ccfd9d45cc26faf/README.md","section":"### AI Features","quote":"### AI Features\n- 🤖 **MCP Server**: Let AI chatbots and agents (Claude/Cursor/etc) scrape through Scrapling with one-shot or session-based tools covering plain HTTP requests (any method), browser fetches, and stealth fetches that bypass Cloudflare. Pages are narrowed with CSS selectors and stripped of prompt-injection content before the AI sees them, so the agent reads less, costs less, and can't be hijacked by hidden text. Screenshots, remote browsers over CDP, and a secure-by-default HTTP transport are included. ([demo video](https://www.youtube.com/watch?v=qyFk3ZNwOxE))\n- 🧠 **Agent Skill**: A ready-to-install [Agent Skill](https://scrapling.readthedocs.io/en/latest/ai/agent-skill.html) that teaches coding agents the whole library, so the code they write with Scrapling matches the current API instead of guessing.\n- 📚 **RAG-ready Markdown**: Turn any page into clean, sanitized, LLM-ready Markdown with one line (`page.markdown()`), or crawl a whole website into a Markdown corpus with the `SiteToMarkdownSpider` template, all without an LLM in the loop. ([docs](https://scrapling.readthedocs.io/en/latest/ai/building-rag-systems.html))\n\n### High-Performance & battle-tested Architecture\n- 🚀 **Lightning Fast**: Optimized performance outperforming most Python scraping libraries.\n- 🔋 **Memory Efficient**: Optimized data structures and lazy loading for a minimal memory footprint.\n- ⚡ **Fast JSON Serialization**: 10x faster than the standard library.\n- 🏗️ **Battle tested**: Not only does Scrapling have 92% test coverage and full type hints coverage, but it has been used daily by hundreds of Web Scrapers over the past year.\n\n### Developer/Web Scraper Friendly Experience\n- 🎯 **Interactive Web Scraping Shell**: Optional built-in IPython shell with Scrapling integration, shortcuts, and new tools to speed up Web Scraping scripts development, like converting curl requests to Scrapling requests and viewing requests results in your browser.\n- 🚀 **Use it directly from the Terminal**: Optionally, you can use Scrapling to scrape a URL without writing a single line of code!\n- 🛠️ **Rich Navigation API**: Advanced DOM traversal with parent, sibling, and child navigation methods.\n- 🧬 **Enhanced Text Processing**: Built-in regex, cleaning methods, and optimized string operations.\n- 📝 **Auto Selector Generation**: Generate robust CSS/XPath selectors for any element.\n- 🔌 **Familiar API**: Similar to Scrapy/BeautifulSoup with the same pseudo-elements used in Scrapy/Parsel.\n- 🤝 **Drop-in Scrapy Integration**: Already invested in Scrapy? Decorate any callback with `scrapling_response` to parse the responses you already fetch with Scrapling's parser, no rewrite needed.\n- 📘 **Complete Type Coverage**: Full type hints for excellent IDE support and code completion. The entire codebase is automatically scanned with **PyRight** and **MyPy** with each change.\n- 🔋 **Ready Docker image**: With each release, a Docker image containing all browsers is automatically built and pushed.\n","version":"7a684934907a8c7feaafe9ff1ccfd9d45cc26faf","retrievedAt":"2026-10-14T20:23:57Z"}],"version":"7a684934907a8c7feaafe9ff1ccfd9d45cc26faf","retrievedAt":"2026-10-14T20:23:57Z","claimId":"872119017:explanation","basis":"official_documentation","evidenceStatus":"Documented"},{"key":"mechanism","text":"CSS, XPath and similarity-based selectors work with persistent fetch sessions and checkpointed spiders.","sourceUrls":["https://github.com/D4Vinci/Scrapling/blob/7a684934907a8c7feaafe9ff1ccfd9d45cc26faf/README.md"],"quote":"### Spiders - A Full Crawling Framework\n- 🕷️ **Scrapy-like Spider API**: Define spiders with `start_urls`, async `parse` callbacks, and `Request`/`Response` objects.\n- ⚡ **Concurrent Crawling**: Configurable concurrency limits, per-domain throttling, and download delays.\n- 🔄 **Multi-Session Support**: Unified interface for HTTP requests, and stealthy headless browsers in a single spider - route requests to different sessions by ID.\n- 💾 **Pause & Resume**: Checkpoint-based crawl persistence. Press Ctrl+C for a graceful shutdown; restart to resume from where you left off.\n- 📡 **Streaming Mode**: Stream scraped items as they arrive via `async for item in spider.stream()` with real-time stats - ideal for UI, pipelines, and long-running crawls.\n- 🛡️ **Blocked Request Detection**: Automatic detection and retry of blocked requests with customizable logic.\n- 🚦 **AutoThrottle**: Stop guessing delays. The spider tunes the delay of each domain on its own from how fast the website responds, then doubles it (or waits what `Retry-After` asks) whenever the website starts blocking or rate-limiting you, and speeds back up once it stops.\n- 🤖 **Robots.txt Compliance**: Optional `robots_txt_obey` flag that respects `Disallow`, `Crawl-delay`, and `Request-rate` directives with per-domain caching.\n- 🧪 **Development Mode**: Cache responses to disk on the first run and replay them on subsequent runs - iterate on your `parse()` logic without re-hitting the target servers.\n- 🧩 **Ready-made Spider Templates**: Skip the boilerplate with `CrawlSpider` for rule-based link following, `SitemapSpider` for sitemap/robots.txt-driven crawls, `XMLFeedSpider`/`CSVFeedSpider` for iterating XML/RSS and CSV feeds, and `ShopifySpider` to pull every product out of any Shopify store through its JSON API, one item per variant.\n- 🔗 **Link Extraction**: A standalone `LinkExtractor` primitive with allow/deny patterns, domain filters, CSS/XPath scoping, extension filtering, and canonicalization - use it inside the templates or on its own.\n- 📦 **Built-in Export**: Export results through hooks and your own pipeline or the built-in JSON/JSONL/CSV/XML exporters with `result.items.to_json()`, `to_jsonl()`, `to_csv()`, and `to_xml()`.\n\n### Advanced Websites Fetching with Session Support\n- **HTTP Requests**: Fast and stealthy HTTP requests with the `Fetcher` class. Can impersonate browsers' TLS fingerprint, headers, and use HTTP/3.\n- **Dynamic Loading**: Fetch dynamic websites with full browser automation through the `DynamicFetcher` class supporting Playwright's Chromium and Google's Chrome.\n- **Anti-bot Bypass**: Advanced stealth capabilities with `StealthyFetcher` and fingerprint spoofing. Can easily bypass all types of Cloudflare's Turnstile/Interstitial with automation.\n- **Session Management**: Persistent session support with `FetcherSession`, `StealthySession`, and `DynamicSession` classes for cookie and state management across requests.\n- **Proxy Rotation**: Built-in `ProxyRotator` with cyclic or custom rotation strategies across all session types, plus per-request proxy overrides.\n- **Domain & Ad Blocking**: Block requests to specific domains (and their subdomains) or enable built-in ad blocking (~3,500 known ad/tracker domains) in browser-based fetchers.\n- **DNS Leak Prevention**: Optional DNS-over-HTTPS support to route DNS queries through Cloudflare's DoH, preventing DNS leaks when using proxies.\n- **Remote Browsers**: Instead of launching a browser locally, connect to one that's already running through CDP with `cdp_url`, whether it's on the same machine, another host, or a managed browser provider. You can also point any browser fetcher at your own Chromium build with `executable_path`.\n- **Background API Capture**: Pass a URL pattern to `capture_xhr`, and all matching XHR/fetch responses the page makes while loading are collected for you as `Response` objects in `response.captured_xhr` - grab a site's API data without reverse-engineering the requests yourself.\n- **Async Support**: Complete async support across all fetchers and dedicated async session classes.\n\n### Adaptive Scraping\n- 🔄 **Smart Element Tracking**: Relocate elements after website changes using intelligent similarity algorithms.\n- 🎯 **Smart Flexible Selection**: CSS selectors, XPath selectors, filter-based search, text search, regex search, and more.\n- 🔍 **Find Similar Elements**: Automatically locate elements similar to found elements.\n\n### AI Features\n- 🤖 **MCP Server**: Let AI chatbots and agents (Claude/Cursor/etc) scrape through Scrapling with one-shot or session-based tools covering plain HTTP requests (any method), browser fetches, and stealth fetches that bypass Cloudflare. Pages are narrowed with CSS selectors and stripped of prompt-injection content before the AI sees them, so the agent reads less, costs less, and can't be hijacked by hidden text. Screenshots, remote browsers over CDP, and a secure-by-default HTTP transport are included. ([demo video](https://www.youtube.com/watch?v=qyFk3ZNwOxE))\n- 🧠 **Agent Skill**: A ready-to-install [Agent Skill](https://scrapling.readthedocs.io/en/latest/ai/agent-skill.html) that teaches coding agents the whole library, so the code they write with Scrapling matches the current API instead of guessing.\n- 📚 **RAG-ready Markdown**: Turn any page into clean, sanitized, LLM-ready Markdown with one line (`page.markdown()`), or crawl a whole website into a Markdown corpus with the `SiteToMarkdownSpider` template, all without an LLM in the loop. ([docs](https://scrapling.readthedocs.io/en/latest/ai/building-rag-systems.html))\n\n### High-Performance & battle-tested Architecture\n- 🚀 **Lightning Fast**: Optimized performance outperforming most Python scraping libraries.\n- 🔋 **Memory Efficient**: Optimized data structures and lazy loading for a minimal memory footprint.\n- ⚡ **Fast JSON Serialization**: 10x faster than the standard library.\n- 🏗️ **Battle tested**: Not only does Scrapling have 92% test coverage and full type hints coverage, but it has been used daily by hundreds of Web Scrapers over the past year.\n\n### Developer/Web Scraper Friendly Experience\n- 🎯 **Interactive Web Scraping Shell**: Optional built-in IPython shell with Scrapling integration, shortcuts, and new tools to speed up Web Scraping scripts development, like converting curl requests to Scrapling requests and viewing requests results in your browser.\n- 🚀 **Use it directly from the Terminal**: Optionally, you can use Scrapling to scrape a URL without writing a single line of code!\n- 🛠️ **Rich Navigation API**: Advanced DOM traversal with parent, sibling, and child navigation methods.\n- 🧬 **Enhanced Text Processing**: Built-in regex, cleaning methods, and optimized string operations.\n- 📝 **Auto Selector Generation**: Generate robust CSS/XPath selectors for any element.\n- 🔌 **Familiar API**: Similar to Scrapy/BeautifulSoup with the same pseudo-elements used in Scrapy/Parsel.\n- 🤝 **Drop-in Scrapy Integration**: Already invested in Scrapy? Decorate any callback with `scrapling_response` to parse the responses you already fetch with Scrapling's parser, no rewrite needed.\n- 📘 **Complete Type Coverage**: Full type hints for excellent IDE support and code completion. The entire codebase is automatically scanned with **PyRight** and **MyPy** with each change.\n- 🔋 **Ready Docker image**: With each release, a Docker image containing all browsers is automatically built and pushed.\n","retainedExcerpts":[{"sourceUrl":"https://github.com/D4Vinci/Scrapling/blob/7a684934907a8c7feaafe9ff1ccfd9d45cc26faf/README.md","section":"### Spiders","quote":"### Spiders - A Full Crawling Framework\n- 🕷️ **Scrapy-like Spider API**: Define spiders with `start_urls`, async `parse` callbacks, and `Request`/`Response` objects.\n- ⚡ **Concurrent Crawling**: Configurable concurrency limits, per-domain throttling, and download delays.\n- 🔄 **Multi-Session Support**: Unified interface for HTTP requests, and stealthy headless browsers in a single spider - route requests to different sessions by ID.\n- 💾 **Pause & Resume**: Checkpoint-based crawl persistence. Press Ctrl+C for a graceful shutdown; restart to resume from where you left off.\n- 📡 **Streaming Mode**: Stream scraped items as they arrive via `async for item in spider.stream()` with real-time stats - ideal for UI, pipelines, and long-running crawls.\n- 🛡️ **Blocked Request Detection**: Automatic detection and retry of blocked requests with customizable logic.\n- 🚦 **AutoThrottle**: Stop guessing delays. The spider tunes the delay of each domain on its own from how fast the website responds, then doubles it (or waits what `Retry-After` asks) whenever the website starts blocking or rate-limiting you, and speeds back up once it stops.\n- 🤖 **Robots.txt Compliance**: Optional `robots_txt_obey` flag that respects `Disallow`, `Crawl-delay`, and `Request-rate` directives with per-domain caching.\n- 🧪 **Development Mode**: Cache responses to disk on the first run and replay them on subsequent runs - iterate on your `parse()` logic without re-hitting the target servers.\n- 🧩 **Ready-made Spider Templates**: Skip the boilerplate with `CrawlSpider` for rule-based link following, `SitemapSpider` for sitemap/robots.txt-driven crawls, `XMLFeedSpider`/`CSVFeedSpider` for iterating XML/RSS and CSV feeds, and `ShopifySpider` to pull every product out of any Shopify store through its JSON API, one item per variant.\n- 🔗 **Link Extraction**: A standalone `LinkExtractor` primitive with allow/deny patterns, domain filters, CSS/XPath scoping, extension filtering, and canonicalization - use it inside the templates or on its own.\n- 📦 **Built-in Export**: Export results through hooks and your own pipeline or the built-in JSON/JSONL/CSV/XML exporters with `result.items.to_json()`, `to_jsonl()`, `to_csv()`, and `to_xml()`.\n\n### Advanced Websites Fetching with Session Support\n- **HTTP Requests**: Fast and stealthy HTTP requests with the `Fetcher` class. Can impersonate browsers' TLS fingerprint, headers, and use HTTP/3.\n- **Dynamic Loading**: Fetch dynamic websites with full browser automation through the `DynamicFetcher` class supporting Playwright's Chromium and Google's Chrome.\n- **Anti-bot Bypass**: Advanced stealth capabilities with `StealthyFetcher` and fingerprint spoofing. Can easily bypass all types of Cloudflare's Turnstile/Interstitial with automation.\n- **Session Management**: Persistent session support with `FetcherSession`, `StealthySession`, and `DynamicSession` classes for cookie and state management across requests.\n- **Proxy Rotation**: Built-in `ProxyRotator` with cyclic or custom rotation strategies across all session types, plus per-request proxy overrides.\n- **Domain & Ad Blocking**: Block requests to specific domains (and their subdomains) or enable built-in ad blocking (~3,500 known ad/tracker domains) in browser-based fetchers.\n- **DNS Leak Prevention**: Optional DNS-over-HTTPS support to route DNS queries through Cloudflare's DoH, preventing DNS leaks when using proxies.\n- **Remote Browsers**: Instead of launching a browser locally, connect to one that's already running through CDP with `cdp_url`, whether it's on the same machine, another host, or a managed browser provider. You can also point any browser fetcher at your own Chromium build with `executable_path`.\n- **Background API Capture**: Pass a URL pattern to `capture_xhr`, and all matching XHR/fetch responses the page makes while loading are collected for you as `Response` objects in `response.captured_xhr` - grab a site's API data without reverse-engineering the requests yourself.\n- **Async Support**: Complete async support across all fetchers and dedicated async session classes.\n\n### Adaptive Scraping\n- 🔄 **Smart Element Tracking**: Relocate elements after website changes using intelligent similarity algorithms.\n- 🎯 **Smart Flexible Selection**: CSS selectors, XPath selectors, filter-based search, text search, regex search, and more.\n- 🔍 **Find Similar Elements**: Automatically locate elements similar to found elements.\n\n### AI Features\n- 🤖 **MCP Server**: Let AI chatbots and agents (Claude/Cursor/etc) scrape through Scrapling with one-shot or session-based tools covering plain HTTP requests (any method), browser fetches, and stealth fetches that bypass Cloudflare. Pages are narrowed with CSS selectors and stripped of prompt-injection content before the AI sees them, so the agent reads less, costs less, and can't be hijacked by hidden text. Screenshots, remote browsers over CDP, and a secure-by-default HTTP transport are included. ([demo video](https://www.youtube.com/watch?v=qyFk3ZNwOxE))\n- 🧠 **Agent Skill**: A ready-to-install [Agent Skill](https://scrapling.readthedocs.io/en/latest/ai/agent-skill.html) that teaches coding agents the whole library, so the code they write with Scrapling matches the current API instead of guessing.\n- 📚 **RAG-ready Markdown**: Turn any page into clean, sanitized, LLM-ready Markdown with one line (`page.markdown()`), or crawl a whole website into a Markdown corpus with the `SiteToMarkdownSpider` template, all without an LLM in the loop. ([docs](https://scrapling.readthedocs.io/en/latest/ai/building-rag-systems.html))\n\n### High-Performance & battle-tested Architecture\n- 🚀 **Lightning Fast**: Optimized performance outperforming most Python scraping libraries.\n- 🔋 **Memory Efficient**: Optimized data structures and lazy loading for a minimal memory footprint.\n- ⚡ **Fast JSON Serialization**: 10x faster than the standard library.\n- 🏗️ **Battle tested**: Not only does Scrapling have 92% test coverage and full type hints coverage, but it has been used daily by hundreds of Web Scrapers over the past year.\n\n### Developer/Web Scraper Friendly Experience\n- 🎯 **Interactive Web Scraping Shell**: Optional built-in IPython shell with Scrapling integration, shortcuts, and new tools to speed up Web Scraping scripts development, like converting curl requests to Scrapling requests and viewing requests results in your browser.\n- 🚀 **Use it directly from the Terminal**: Optionally, you can use Scrapling to scrape a URL without writing a single line of code!\n- 🛠️ **Rich Navigation API**: Advanced DOM traversal with parent, sibling, and child navigation methods.\n- 🧬 **Enhanced Text Processing**: Built-in regex, cleaning methods, and optimized string operations.\n- 📝 **Auto Selector Generation**: Generate robust CSS/XPath selectors for any element.\n- 🔌 **Familiar API**: Similar to Scrapy/BeautifulSoup with the same pseudo-elements used in Scrapy/Parsel.\n- 🤝 **Drop-in Scrapy Integration**: Already invested in Scrapy? Decorate any callback with `scrapling_response` to parse the responses you already fetch with Scrapling's parser, no rewrite needed.\n- 📘 **Complete Type Coverage**: Full type hints for excellent IDE support and code completion. 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