Every AI for Everyone
Multi-provider AI · Agents · MCP · Code Execution · RAG · Self-hosting
Website · Docs · Discord · Main Repository
LibreChat started as a unified interface for AI models and has grown into a broader open-source ecosystem for building, deploying, and extending AI applications.
The organization contains the core platform, agent infrastructure, retrieval systems, secure code execution, developer tooling, MCP integrations, and the services that power the LibreChat experience.
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The complete self-hosted AI platform. Models, agents, tools, MCP, multimodal chat, artifacts, authentication, search, and more. |
⚡ AgentsAgent runtime and orchestration infrastructure for building tool-using and multi-agent systems. |
🧩 RAG APIRetrieval and document intelligence infrastructure powered by vector search. |
Secure sandboxed execution environments for AI-generated code. |
🎛️ Admin PanelAdministration, configuration, users, permissions, and deployment management. |
📚 DocsDocumentation, guides, changelog, and the LibreChat website platform. |
More projects
| Project | Description |
|---|---|
| librechat-config-yaml | Configuration examples and community presets |
| codesandbox-client | Interactive browser-based code previews |
| static-browser-server | Self-hosted static sandbox runtime |
| spotify-mcp | Spotify MCP integration |
| quickbooks-online-mcp | QuickBooks Online MCP integration |
| LibreChat-DiscordBot | LibreChat community Discord bot |
| Starguard | GitHub and Discord community tooling |
| .github | Organization configuration |
Own your infrastructure.
Run locally, on your own servers, or in the cloud.
Use the models you want.
Connect commercial APIs, open models, local inference, or custom endpoints.
Build beyond chat.
Create agents, connect tools through MCP, execute code, retrieve knowledge, and build complete AI workflows.
Stay open.
LibreChat is developed publicly and designed around extensibility rather than vendor lock-in.
LibreChat is built by a global open-source community.
Whether you're improving the core platform, building integrations, contributing infrastructure, fixing bugs, writing documentation, or creating new tools, contributions are welcome.
Explore the docs → Start contributing →
Build your AI. Own your stack.