Agent run control: Interrupt an Agent before visible answer text, steer runs with files and quoted excerpts, durably queue follow-ups, and recover saved partial work with Keep going or Answer now.
Agent activity: Optional generated labels group reasoning and tool work, fold completed groups into live phase cards, keep generated files visible, summarize multi-step phases, and show the current reasoning direction.
Human-in-the-loop Agents: Stream up to four related questions, pause for input or tool approval, and resume durably.
Unified Agent Builder: Configure Skills, MCP, Code Interpreter, orchestration, Programmatic Tool Calling, model-spec controls, and per-tool background and intent settings in one Tools marketplace; Skills can be enabled for standalone runtime authoring without exposing the existing catalog.
Durable Agent automation: Authenticated Agent Events support bound child actors, expected-action receipts, per-actor mailboxes, event batching, durable human pauses, and automatic detached Actions across built-in stream stores.
Deeper Subagent history: Browse branch-aware child turns with bounded reasoning and stable live event views, load earlier activity, inspect event details, continue completed child chats, and automatically wake saved parent Agents when detached work settles.
Background tools: Eligible Code Interpreter, MCP, Plugin, and Action tools can run while an Agent keeps working, with automatic delivery for supported completions and polling controls when needed.
Code Interpreter workflows: Sandbox images return as viewable artifacts; highly experimental stateful sessions add scoped managed, attached, or personal environments, per-message file downloads, and guarded file-write and command permissions.
Agent extensibility: Experimental Agent Plugins bundle deployment Skills, MCP servers, and opt-in command hooks; saved Agent teams run as isolated Subagent graphs.
Scheduled Chats (experimental): Run saved Agents with presets or custom cron, selectable time zones, multi-day weekly cadence, and optional Chat Project destinations.
Memory and context: Agents can use optionally isolated memory, preserve adaptive context fading across turns, and show categorized current-window usage, tokens, and optional cost.
Editable long pastes: Long pasted text becomes an editable attachment that can be moved back into the composer; attachment-only turns and reliable Upload as Text downloads are also supported.
Projects, settings, and navigation: Search conversation titles and message contents, manage project chats, use searchable settings and shortcuts, pin chats, choose clock/week conventions, and navigate faster on mobile.
Sharing and artifacts: Stable shared links support personal copies; fullscreen previews, Mermaid export, PowerPoint templates, shell scripts, and original Office downloads expand file workflows.
Web search: Keenable adds keyless search and page fetch, while SearXNG and Tavily gain richer controls and all web-tool egress uses stronger SSRF protection.
Models and reasoning: Added GPT-5.6 with Responses reasoning controls, Claude Fable 5.1, Opus 5, and Sonnet 5, plus Gemini 3.8/3.7/3.6 Flash and Gemini 3.5 Flash-Lite.
Langfuse observability: Configure encrypted in-app connections, tenant fanout, authenticated gateways, export-decision telemetry, and authorized session links in chats and shared views.
Administration: Source-aware content filters can audit or block model-bound data, while tenant Insights, delegated configuration, encrypted secrets, and expiring violation scores improve operations.
Streaming and reliability: Adaptive smoothing, Redis delta batching and failover recovery, automatic generation protocol v2, live MCP catalog refresh, Agent circuit breakers, and DocumentDB support improve long runs and scaled deployments.
⚠️ Please consult the changelog for breaking changes before updating.
⭐ Star History
✨ Contributions
Contributions, suggestions, bug reports and fixes are welcome!
For new features, components, or extensions, please open an issue and discuss before sending a PR.
If you'd like to help translate LibreChat into your language, we'd love your contribution! Improving our translations not only makes LibreChat more accessible to users around the world but also enhances the overall user experience. Please check out our Translation Guide.
💖 This project exists in its current state thanks to all the people who contribute
🎉 Special Thanks
We thank Locize for their translation management tools that support multiple languages in LibreChat.
What is this?LibreChat is a self-hosted AI chat platform that unifies all major AI providers (OpenAI, Anthropic, Google, AWS Bedrock, Azure, Mistral, OpenRouter and more) in a single ChatGPT-like interface, with Agents, MCP support, Code Interpreter and Artifacts built in.
Is this a cloud service or something I host myself?It is an open-source web app you deploy yourself (via Docker) rather than a hosted SaaS product; you run it on your own server or cloud and bring your own provider API keys.
How do I get it running?The fastest path is the bundled Docker Compose stack, which includes the admin panel, for a one-command setup; it can run on a single server or scale horizontally with Redis.
What do I need before I start?You need Docker to run the stack, plus API keys/credentials for whichever AI providers you want to connect (OpenAI, Anthropic, Azure, AWS Bedrock, Google, etc.), or you can point it at local providers like Ollama instead.
Are the newest Agent features production-ready?Several flagship features are explicitly marked experimental, including stateful Code Interpreter sessions and Scheduled Chats, so they may change or behave unpredictably before stabilizing.
Is my chat data and code execution kept private?Because it is self-hosted you control where data lives, and the Code Interpreter tool runs in a fully isolated sandbox rather than sharing your files with a third party.
What are Artifacts in LibreChat?Artifacts are generative UI panels that render React, HTML, or Mermaid content directly inside a chat response, with fullscreen preview and export to SVG/PNG.
What can the Code Interpreter run?It executes code in a secure sandbox supporting Python, Node.js, Go, C/C++, Java, PHP, Rust, and Fortran, with file upload/download built in.
Can I use local models instead of paid APIs?Yes, LibreChat connects to local/remote providers like Ollama, Apple MLX, koboldcpp, and AMD Lemonade in addition to commercial APIs.
Does the UI support languages other than English?Yes, the interface ships translated into 20+ languages including Chinese (Simplified/Traditional), Arabic, Russian, Japanese, Korean, and more.
LibreChat is a self-hosted AI chat platform that unifies all major AI providers (OpenAI, Anthropic, Google, AWS Bedrock, Azure, Mistral, OpenRouter and more) in a single ChatGPT-like interface, with Agents, MCP support, Code Interpreter and Artifacts built in.