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Enhanced ChatGPT Clone: Features Agents, MCP, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpreter, langchain, DALL-E-3, OpenAPI Actions, Functions, Secure Multi-User Auth, Presets, open-source for self-hosting. Active.
https://librechat.ai/
aianthropicartifactsawsazurechatgptchatgpt-cloneclaudeclonedeepseekgeminigooglegpt-5librechatmcpo1openairesponses-apivisionwebui
a7f16911b2
* ⏳ fix: Extend and decouple MCP OAuth flow timeouts The OAuth auth button disappeared after 2 minutes (the internal OAuth handling timeout) while the flow state lived for 3 minutes, leaving users who didn't click immediately stuck in an unrecoverable re-auth loop. The handling timeouts also reused the connection/init timeout, so a short initTimeout would shrink the OAuth window further. - Add MCP_OAUTH_HANDLING_TIMEOUT (10m) and MCP_OAUTH_FLOW_TTL (15m) to mcpConfig - Decouple the reactive/proactive OAuth waits from initTimeout/connectionTimeout - Use OAUTH_FLOW_TTL for the FlowStateManager TTL and the UI status window - Ensure the flow TTL outlives the handling timeout, fixing the "Flow state not found" race - Remove dead FLOW_TTL constant and document new env vars Fixes #13615 * ⏳ fix: Coordinate OAuth pending window with handling timeout Address Codex review: the extended OAuth wait was still capped by other timeouts that were not updated. - Align PENDING_STALE_MS (button validity + pending-flow reuse window) with MCP_OAUTH_HANDLING_TIMEOUT so a flow stays reusable for the full wait instead of 2 minutes (Finding 3) - Clamp MCP_OAUTH_FLOW_TTL to never fall below the handling timeout so a callback near the deadline still finds its flow state (Finding 2) - Floor attemptToConnect's timeout to the handling window for OAuth servers so the reactive in-connect OAuth wait is not killed by the 30s connection timeout (Finding 1) - Update flow staleness tests to reference the threshold symbolically * ⏳ fix: Align OAuth window across status, action flows, and client polling Address Codex round 2: extending the server wait exposed three more windows that were still capped or now over-extended. - checkOAuthFlowStatus reports a PENDING flow as active only within the usable PENDING_STALE_MS window, not the longer Keyv retention TTL, so the connect button reappears instead of a stuck 'connecting' state - Give Action (custom tool) OAuth its own FlowStateManager on the prior 3-minute TTL so the longer MCP OAuth TTL can't leave an action tool call waiting up to 15 minutes - Extend the MCP server-card client polling to the 10-minute handling window so a user who completes OAuth after 3 minutes is still picked up * 🧪 test: Make stale-flow CSRF test track PENDING_STALE_MS The CSRF-fallback stale-flow test hardcoded a 3-minute age, which is now within the 10-minute PENDING_STALE_MS window and was wrongly treated as active. Derive the age from PENDING_STALE_MS so it tracks the constant. * ⏳ fix: Add grace buffers and surface OAuth timeout to the client Address Codex round 3 (near-deadline edges): - Clamp MCP_OAUTH_FLOW_TTL to handling timeout + 60s grace (not equality), so flow state outlives the wait instead of expiring at the same instant - Extend attemptToConnect's OAuth floor by a 60s grace so a user who authorizes near the deadline still gets the post-OAuth reconnect - Surface OAUTH_HANDLING_TIMEOUT on the connection-status response and have the client poll for the configured window instead of a hardcoded 10 minutes, so a tuned server deadline isn't capped on the client * ⏳ fix: Refresh client OAuth timeout from the first status refetch If the connection-status cache is empty when polling starts, the client captured the 10-minute fallback and never picked up a tuned oauthTimeout. Re-read it after each refetch so a longer configured deadline is honored even on a cold cache. * 📝 refactor: Type oauthTimeout on MCPConnectionStatusResponse Declare the oauthTimeout field on the shared response type in data-provider instead of an ad-hoc inline cast in the client hook, and replace the pre-existing 'as any' on the status query read with the typed getQueryData. Type-level only; no runtime change. |
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LibreChat
English · 中文
✨ Features
-
🖥️ UI & Experience inspired by ChatGPT with enhanced design and features
-
🤖 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
- Skills: Create reusable
SKILL.mdinstruction bundles for manual, automatic, or always-on agent workflows - Subagents: Delegate focused work to isolated child agent runs with their own context windows
- 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
-
💬 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
-
🧠 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
-
- 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
-
🗣️ Speech & Audio:
- Chat hands-free with Speech-to-Text and Text-to-Speech
- Automatically send and play Audio
- Supports OpenAI, Azure OpenAI, and Elevenlabs
-
📥 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 S3 with CloudFront for stable media links, edge delivery, signed cookies, and secured downloads
- 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.