* 🔒 fix: Validate MCP Configs in Server Responses * 🔒 fix: Enhance OAuth URL Validation in MCPOAuthHandler - Introduced validation for OAuth URLs to ensure they do not target private or internal addresses, enhancing security against SSRF attacks. - Updated the OAuth flow to validate both authorization and token URLs before use, ensuring compliance with security standards. - Refactored redirect URI handling to streamline the OAuth client registration process. - Added comprehensive error handling for invalid URLs, improving robustness in OAuth interactions. * 🔒 feat: Implement Permission Checks for MCP Server Management - Added permission checkers for MCP server usage and creation, enhancing access control. - Updated routes for reinitializing MCP servers and retrieving authentication values to include these permission checks, ensuring only authorized users can access these functionalities. - Refactored existing permission logic to improve clarity and maintainability. * 🔒 fix: Enhance MCP Server Response Validation and Redaction - Updated MCP route tests to use `toMatchObject` for better validation of server response structures, ensuring consistency in expected properties. - Refactored the `redactServerSecrets` function to streamline the removal of sensitive information, ensuring that user-sourced API keys are properly redacted while retaining their source. - Improved OAuth security tests to validate rejection of private URLs across multiple endpoints, enhancing protection against SSRF vulnerabilities. - Added comprehensive tests for the `redactServerSecrets` function to ensure proper handling of various server configurations, reinforcing security measures. * chore: eslint * 🔒 fix: Enhance OAuth Server URL Validation in MCPOAuthHandler - Added validation for discovered authorization server URLs to ensure they meet security standards. - Improved logging to provide clearer insights when an authorization server is found from resource metadata. - Refactored the handling of authorization server URLs to enhance robustness against potential security vulnerabilities. * 🔒 test: Bypass SSRF validation for MCP OAuth Flow tests - Mocked SSRF validation functions to allow tests to use real local HTTP servers, facilitating more accurate testing of the MCP OAuth flow. - Updated test setup to ensure compatibility with the new mocking strategy, enhancing the reliability of the tests. * 🔒 fix: Add Validation for OAuth Metadata Endpoints in MCPOAuthHandler - Implemented checks for the presence and validity of registration and token endpoints in the OAuth metadata, enhancing security by ensuring that these URLs are properly validated before use. - Improved error handling and logging to provide better insights during the OAuth metadata processing, reinforcing the robustness of the OAuth flow. * 🔒 refactor: Simplify MCP Auth Values Endpoint Logic - Removed redundant permission checks for accessing the MCP server resource in the auth-values endpoint, streamlining the request handling process. - Consolidated error handling and response structure for improved clarity and maintainability. - Enhanced logging for better insights during the authentication value checks, reinforcing the robustness of the endpoint. * 🔒 test: Refactor LeaderElection Integration Tests for Improved Cleanup - Moved Redis key cleanup to the beforeEach hook to ensure a clean state before each test. - Enhanced afterEach logic to handle instance resignations and Redis key deletion more robustly, improving test reliability and maintainability. |
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| e2e | ||
| helm | ||
| packages | ||
| redis-config | ||
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| AGENTS.md | ||
| bun.lock | ||
| CLAUDE.md | ||
| deploy-compose.yml | ||
| docker-compose.override.yml.example | ||
| docker-compose.yml | ||
| Dockerfile | ||
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| eslint.config.mjs | ||
| librechat.example.yaml | ||
| LICENSE | ||
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| rag.yml | ||
| README.md | ||
| turbo.json | ||
LibreChat
✨ Features
-
🖥️ UI & Experience inspired by ChatGPT with enhanced design and features
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🤖 AI Model Selection:
- Anthropic (Claude), AWS Bedrock, OpenAI, Azure OpenAI, Google, Vertex AI, OpenAI Responses API (incl. Azure)
- Custom Endpoints: Use any OpenAI-compatible API with LibreChat, no proxy required
- Compatible with Local & Remote AI Providers:
- Ollama, groq, Cohere, Mistral AI, Apple MLX, koboldcpp, together.ai,
- OpenRouter, Helicone, Perplexity, ShuttleAI, Deepseek, Qwen, and more
-
- Secure, Sandboxed Execution in Python, Node.js (JS/TS), Go, C/C++, Java, PHP, Rust, and Fortran
- Seamless File Handling: Upload, process, and download files directly
- No Privacy Concerns: Fully isolated and secure execution
-
🔦 Agents & Tools Integration:
- LibreChat Agents:
- No-Code Custom Assistants: Build specialized, AI-driven helpers
- Agent Marketplace: Discover and deploy community-built agents
- Collaborative Sharing: Share agents with specific users and groups
- Flexible & Extensible: Use MCP Servers, tools, file search, code execution, and more
- Compatible with Custom Endpoints, OpenAI, Azure, Anthropic, AWS Bedrock, Google, Vertex AI, Responses API, and more
- Model Context Protocol (MCP) Support for Tools
- LibreChat Agents:
-
🔍 Web Search:
- Search the internet and retrieve relevant information to enhance your AI context
- Combines search providers, content scrapers, and result rerankers for optimal results
- Customizable Jina Reranking: Configure custom Jina API URLs for reranking services
- Learn More →
-
🪄 Generative UI with Code Artifacts:
- Code Artifacts allow creation of React, HTML, and Mermaid diagrams directly in chat
-
🎨 Image Generation & Editing
- Text-to-image and image-to-image with GPT-Image-1
- Text-to-image with DALL-E (3/2), Stable Diffusion, Flux, or any MCP server
- Produce stunning visuals from prompts or refine existing images with a single instruction
-
💾 Presets & Context Management:
- Create, Save, & Share Custom Presets
- Switch between AI Endpoints and Presets mid-chat
- Edit, Resubmit, and Continue Messages with Conversation branching
- Create and share prompts with specific users and groups
- Fork Messages & Conversations for Advanced Context control
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💬 Multimodal & File Interactions:
- Upload and analyze images with Claude 3, GPT-4.5, GPT-4o, o1, Llama-Vision, and Gemini 📸
- Chat with Files using Custom Endpoints, OpenAI, Azure, Anthropic, AWS Bedrock, & Google 🗃️
-
🌎 Multilingual UI:
- English, 中文 (简体), 中文 (繁體), العربية, Deutsch, Español, Français, Italiano
- Polski, Português (PT), Português (BR), Русский, 日本語, Svenska, 한국어, Tiếng Việt
- Türkçe, Nederlands, עברית, Català, Čeština, Dansk, Eesti, فارسی
- Suomi, Magyar, Հայերեն, Bahasa Indonesia, ქართული, Latviešu, ไทย, ئۇيغۇرچە
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🧠 Reasoning UI:
- Dynamic Reasoning UI for Chain-of-Thought/Reasoning AI models like DeepSeek-R1
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🎨 Customizable Interface:
- Customizable Dropdown & Interface that adapts to both power users and newcomers
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- Never lose a response: AI responses automatically reconnect and resume if your connection drops
- Multi-Tab & Multi-Device Sync: Open the same chat in multiple tabs or pick up on another device
- Production-Ready: Works from single-server setups to horizontally scaled deployments with Redis
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🗣️ Speech & Audio:
- Chat hands-free with Speech-to-Text and Text-to-Speech
- Automatically send and play Audio
- Supports OpenAI, Azure OpenAI, and Elevenlabs
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📥 Import & Export Conversations:
- Import Conversations from LibreChat, ChatGPT, Chatbot UI
- Export conversations as screenshots, markdown, text, json
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🔍 Search & Discovery:
- Search all messages/conversations
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👥 Multi-User & Secure Access:
- Multi-User, Secure Authentication with OAuth2, LDAP, & Email Login Support
- Built-in Moderation, and Token spend tools
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⚙️ Configuration & Deployment:
- Configure Proxy, Reverse Proxy, Docker, & many Deployment options
- Use completely local or deploy on the cloud
-
📖 Open-Source & Community:
- Completely Open-Source & Built in Public
- Community-driven development, support, and feedback
For a thorough review of our features, see our docs here 📚
🪶 All-In-One AI Conversations with LibreChat
LibreChat is a self-hosted AI chat platform that unifies all major AI providers in a single, privacy-focused interface.
Beyond chat, LibreChat provides AI Agents, Model Context Protocol (MCP) support, Artifacts, Code Interpreter, custom actions, conversation search, and enterprise-ready multi-user authentication.
Open source, actively developed, and built for anyone who values control over their AI infrastructure.
🌐 Resources
GitHub Repo:
- RAG API: github.com/danny-avila/rag_api
- Website: github.com/LibreChat-AI/librechat.ai
Other:
- Website: librechat.ai
- Documentation: librechat.ai/docs
- Blog: librechat.ai/blog
📝 Changelog
Keep up with the latest updates by visiting the releases page and notes:
⚠️ 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.