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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
fcb344da47
* fix: Implement race conditions in MCP OAuth flow - Added connection mutex to coalesce concurrent `getUserConnection` calls, preventing multiple simultaneous attempts. - Enhanced flow state management to retry once when a flow state is missing, improving resilience against race conditions. - Introduced `ReauthenticationRequiredError` for better error handling when access tokens are expired or missing. - Updated tests to cover new race condition scenarios and ensure proper handling of OAuth flows. * fix: Stale PENDING flow detection and OAuth URL re-issuance PENDING flows in handleOAuthRequired now check createdAt age — flows older than 2 minutes are treated as stale and replaced instead of joined. Fixes the case where a leftover PENDING flow from a previous session blocks new OAuth initiation. authorizationUrl is now stored in MCPOAuthFlowMetadata so that when a second caller joins an active PENDING flow (e.g., the SSE-emitting path in ToolService), it can re-issue the URL to the user via oauthStart. * fix: CSRF fallback via active PENDING flow in OAuth callback When the OAuth callback arrives without CSRF or session cookies (common in the chat/SSE flow where cookies can't be set on streaming responses), fall back to validating that a PENDING flow exists for the flowId. This is safe because the flow was created server-side after JWT authentication and the authorization code is PKCE-protected. * test: Extract shared OAuth test server helpers Move MockKeyv, getFreePort, trackSockets, and createOAuthMCPServer into a shared helpers/oauthTestServer module. Enhance the test server with refresh token support, token rotation, metadata discovery, and dynamic client registration endpoints. Add InMemoryTokenStore for token storage tests. Refactor MCPOAuthRaceCondition.test.ts to import from shared helpers. * test: Add comprehensive MCP OAuth test modules MCPOAuthTokenStorage — 21 tests for storeTokens/getTokens with InMemoryTokenStore: encrypt/decrypt round-trips, expiry calculation, refresh callback wiring, ReauthenticationRequiredError paths. MCPOAuthFlow — 10 tests against real HTTP server: token refresh with stored client info, refresh token rotation, metadata discovery, dynamic client registration, full store/retrieve/expire/refresh lifecycle. MCPOAuthConnectionEvents — 5 tests for MCPConnection OAuth event cycle with real OAuth-gated MCP server: oauthRequired emission on 401, oauthHandled reconnection, oauthFailed rejection, token expiry detection. MCPOAuthTokenExpiry — 12 tests for the token expiry edge case: refresh success/failure paths, ReauthenticationRequiredError, PENDING flow CSRF fallback, authorizationUrl metadata storage, full re-auth cycle after refresh failure, concurrent expired token coalescing, stale PENDING flow detection. * test: Enhance MCP OAuth connection tests with cooldown reset Added a `beforeEach` hook to clear the cooldown for `MCPConnection` before each test, ensuring a clean state. Updated the race condition handling in the tests to properly clear the timeout, improving reliability in the event data retrieval process. * refactor: PENDING flow management and state recovery in MCP OAuth - Introduced a constant `PENDING_STALE_MS` to define the age threshold for PENDING flows, improving the handling of stale flows. - Updated the logic in `MCPConnectionFactory` and `FlowStateManager` to check the age of PENDING flows before joining or reusing them. - Modified the `completeFlow` method to return false when the flow state is deleted, ensuring graceful handling of race conditions. - Enhanced tests to validate the new behavior and ensure robustness against state recovery issues. * refactor: MCP OAuth flow management and testing - Updated the `completeFlow` method to log warnings when a tool flow state is not found during completion, improving error handling. - Introduced a new `normalizeExpiresAt` function to standardize expiration timestamp handling across the application. - Refactored token expiration checks in `MCPConnectionFactory` to utilize the new normalization function, ensuring consistent behavior. - Added a comprehensive test suite for OAuth callback CSRF fallback logic, validating the handling of PENDING flows and their staleness. - Enhanced existing tests to cover new expiration normalization logic and ensure robust flow state management. * test: Add CSRF fallback tests for active PENDING flows in MCP OAuth - Introduced new tests to validate CSRF fallback behavior when a fresh PENDING flow exists without cookies, ensuring successful OAuth callback handling. - Added scenarios to reject requests when no PENDING flow exists, when only a COMPLETED flow is present, and when a PENDING flow is stale, enhancing the robustness of flow state management. - Improved overall test coverage for OAuth callback logic, reinforcing the handling of CSRF validation failures. * chore: imports order * refactor: Update UserConnectionManager to conditionally manage pending connections - Modified the logic in `UserConnectionManager` to only set pending connections if `forceNew` is false, preventing unnecessary overwrites. - Adjusted the cleanup process to ensure pending connections are only deleted when not forced, enhancing connection management efficiency. * refactor: MCP OAuth flow state management - Introduced a new method `storeStateMapping` in `MCPOAuthHandler` to securely map the OAuth state parameter to the flow ID, improving callback resolution and security against forgery. - Updated the OAuth initiation and callback handling in `mcp.js` to utilize the new state mapping functionality, ensuring robust flow management. - Refactored `MCPConnectionFactory` to store state mappings during flow initialization, enhancing the integrity of the OAuth process. - Adjusted comments to clarify the purpose of state parameters in authorization URLs, reinforcing code readability. * refactor: MCPConnection with OAuth recovery handling - Added `oauthRecovery` flag to manage OAuth recovery state during connection attempts. - Introduced `decrementCycleCount` method to reduce the circuit breaker's cycle count upon successful reconnection after OAuth recovery. - Updated connection logic to reset the `oauthRecovery` flag after handling OAuth, improving state management and connection reliability. * chore: Add debug logging for OAuth recovery cycle count decrement - Introduced a debug log statement in the `MCPConnection` class to track the decrement of the cycle count after a successful reconnection during OAuth recovery. - This enhancement improves observability and aids in troubleshooting connection issues related to OAuth recovery. * test: Add OAuth recovery cycle management tests - Introduced new tests for the OAuth recovery cycle in `MCPConnection`, validating the decrement of cycle counts after successful reconnections. - Added scenarios to ensure that the cycle count is not decremented on OAuth failures, enhancing the robustness of connection management. - Improved test coverage for OAuth reconnect scenarios, ensuring reliable behavior under various conditions. * feat: Implement circuit breaker configuration in MCP - Added circuit breaker settings to `.env.example` for max cycles, cycle window, and cooldown duration. - Refactored `MCPConnection` to utilize the new configuration values from `mcpConfig`, enhancing circuit breaker management. - Improved code maintainability by centralizing circuit breaker parameters in the configuration file. * refactor: Update decrementCycleCount method for circuit breaker management - Changed the visibility of the `decrementCycleCount` method in `MCPConnection` from private to public static, allowing it to be called with a server name parameter. - Updated calls to `decrementCycleCount` in `MCPConnectionFactory` to use the new static method, improving clarity and consistency in circuit breaker management during connection failures and OAuth recovery. - Enhanced the handling of circuit breaker state by ensuring the method checks for the existence of the circuit breaker before decrementing the cycle count. * refactor: cycle count decrement on tool listing failure - Added a call to `MCPConnection.decrementCycleCount` in the `MCPConnectionFactory` to handle cases where unauthenticated tool listing fails, improving circuit breaker management. - This change ensures that the cycle count is decremented appropriately, maintaining the integrity of the connection recovery process. * refactor: Update circuit breaker configuration and logic - Enhanced circuit breaker settings in `.env.example` to include new parameters for failed rounds and backoff strategies. - Refactored `MCPConnection` to utilize the updated configuration values from `mcpConfig`, improving circuit breaker management. - Updated tests to reflect changes in circuit breaker logic, ensuring accurate validation of connection behavior under rapid reconnect scenarios. * feat: Implement state mapping deletion in MCP flow management - Added a new method `deleteStateMapping` in `MCPOAuthHandler` to remove orphaned state mappings when a flow is replaced, preventing old authorization URLs from resolving after a flow restart. - Updated `MCPConnectionFactory` to call `deleteStateMapping` during flow cleanup, ensuring proper management of OAuth states. - Enhanced test coverage for state mapping functionality to validate the new deletion logic. |
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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
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- 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
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💾 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
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📖 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.