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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
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* fix(auth): add origin binding to admin OAuth exchange codes Bind admin OAuth exchange codes to the admin panel's origin at generation time and validate the origin on redemption. This prevents an intercepted code (via referrer leakage, logs, or network capture) from being redeemed by a different origin within the 30-second TTL. - Store the admin panel origin alongside the exchange code in cache - Extract the request origin (from Origin/Referer headers) on the exchange endpoint and pass it for validation - Reject code redemption when the request origin does not match the stored origin (code is still consumed to prevent replay) - Backward compatible: codes without a stored origin are accepted * fix(auth): add PKCE proof-of-possession to admin OAuth exchange codes Add a PKCE-like code_challenge/code_verifier flow to the admin OAuth exchange so that intercepting the exchange code alone is insufficient to redeem it. The admin panel generates a code_verifier (stored in its HttpOnly session cookie) and sends sha256(verifier) as code_challenge through the OAuth initiation URL. LibreChat stores the challenge keyed by OAuth state and attaches it to the exchange code. On redemption, the admin panel sends the verifier and LibreChat verifies the hash match. - Add verifyCodeChallenge() helper using SHA-256 - Store code_challenge in ADMIN_OAUTH_EXCHANGE cache (pkce: prefix, 5min TTL) - Capture OAuth state in callback middleware before passport processes it - Accept code_verifier in exchange endpoint body - Backward compatible: no challenge stored → PKCE check skipped * fix(auth): harden PKCE and origin binding in admin OAuth exchange - Await cache.set for PKCE challenge storage with error handling - Use crypto.timingSafeEqual for PKCE hash comparison - Drop case-insensitive flag from hex validation regexes - Add code_verifier length validation (max 512 chars) - Normalize Origin header via URL parsing in resolveRequestOrigin - Add test for undefined requestOrigin rejection - Clarify JSDoc: hex-encoded SHA-256, not RFC 7636 S256 * fix(auth): fail closed on PKCE callback cache errors, clean up origin/buffer handling - Callback middleware now redirects to error URL on cache.get failure instead of silently continuing without PKCE challenge - resolveRequestOrigin returns undefined (not raw header) on parse failure - Remove dead try/catch around Buffer.from which never throws for string input * chore(auth): remove narration comments, scope eslint-disable to lines * chore(auth): narrow query.state to string, remove narration comments in exchange.ts * fix(auth): address review findings — warn on missing PKCE challenge, validate verifier length, deduplicate URL parse - Log warning when OAuth state is present but no PKCE challenge found - Add minimum length check (>= 1) on code_verifier input validation - Update POST /oauth/exchange JSDoc to document code_verifier param - Deduplicate new URL(redirectUri) parse in createOAuthHandler - Restore intent comment on pre-delete pattern in exchangeAdminCode * test(auth): replace mock cache with real Keyv, remove all as-any casts - Use real Keyv in-memory store instead of hand-rolled Map mock - Replace jest.fn mocks with jest.spyOn on real Keyv instance - Remove redundant store.has() assertion, use cache.get() instead - Eliminate all eslint-disable and as-any suppressions - User fixture no longer needs any cast (Keyv accepts plain objects) * fix(auth): add IUser type cast for test fixture to satisfy tsc |
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LibreChat
English · 中文
✨ 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 →
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🪄 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 🗃️
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🌎 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.