mirror of
https://github.com/danny-avila/LibreChat.git
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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
b93d60c416
* refactor: Update Image Component to Remove Lazy Loading and Enhance Rendering - Removed the react-lazy-load-image-component dependency from the Image component, simplifying the image loading process. - Updated the Image component to use a standard <img> tag with async decoding for improved performance and user experience. - Adjusted related tests to reflect changes in image rendering behavior and ensure proper functionality without lazy loading. * refactor: Enhance Image Handling and Caching Across Components - Introduced a new previewCache utility for managing local blob preview URLs, improving image loading efficiency. - Updated the Image component and related parts (FileRow, Files, Part, ImageAttachment, LogContent) to utilize cached previews, enhancing rendering performance and user experience. - Added width and height properties to the Image component for better layout management and consistency across different usages. - Improved file handling logic in useFileHandling to cache previews during file uploads, ensuring quick access to image data. - Enhanced overall code clarity and maintainability by streamlining image rendering logic and reducing redundancy. * refactor: Enhance OpenAIImageGen Component with Image Dimensions - Added width and height properties to the OpenAIImageGen component for improved image rendering and layout management. - Updated the Image component usage within OpenAIImageGen to utilize the new dimensions, enhancing visual consistency and performance. - Improved code clarity by destructuring additional properties from the attachment object, streamlining the component's logic. * refactor: Implement Image Size Caching in DialogImage Component - Introduced an imageSizeCache to store and retrieve image sizes, enhancing performance by reducing redundant fetch requests. - Updated the getImageSize function to first check the cache before making network requests, improving efficiency in image handling. - Added decoding attribute to the image element for optimized rendering behavior. * refactor: Enhance UserAvatar Component with Avatar Caching and Error Handling - Introduced avatar caching logic to optimize avatar resolution based on user ID and avatar source, improving performance and reducing redundant image loads. - Implemented error handling for failed image loads, allowing for fallback to a default avatar when necessary. - Updated UserAvatar props to streamline the interface by removing the user object and directly accepting avatar-related properties. - Enhanced overall code clarity and maintainability by refactoring the component structure and logic. * fix: Layout Shift in Message and Placeholder Components for Consistent Height Management - Adjusted the height of the PlaceholderRow and related message components to ensure consistent rendering with a minimum height of 31px. - Updated the MessageParts and ContentRender components to utilize a minimum height for better layout stability. - Enhanced overall code clarity by standardizing the structure of message-related components. * tests: Update FileRow Component to Prefer Cached Previews for Image Rendering - Modified the image URL selection logic in the FileRow component to prioritize cached previews over file paths when uploads are complete, enhancing rendering performance and user experience. - Updated related tests to reflect changes in image URL handling, ensuring accurate assertions for both preview and file path scenarios. - Introduced a fallback mechanism to use file paths when no preview exists, improving robustness in file handling. * fix: Image cache lifecycle and dialog decoding - Add deletePreview/clearPreviewCache to previewCache.ts for blob URL cleanup - Wire deletePreview into useFileDeletion to revoke blobs on file delete - Move dimensionCache.set into useMemo to avoid side effects during render - Extract IMAGE_MAX_W_PX constant (512) to document coupling with max-w-lg - Export _resetImageCaches for test isolation - Change DialogImage decoding from "sync" to "async" to avoid blocking main thread * fix: Avatar cache invalidation and cleanup - Include avatarSrc in cache invalidation to prevent stale avatars - Remove unused username parameter from resolveAvatar - Skip caching when userId is empty to prevent cache key collisions * test: Fix test isolation and type safety - Reset module-level dimensionCache/paintedUrls in beforeEach via _resetImageCaches - Replace any[] with typed mock signature in cn mock for both test files * chore: Code quality improvements from review - Use barrel imports for previewCache in Files.tsx and Part.tsx - Single Map.get with truthy check instead of has+get in useEventHandlers - Add JSDoc comments explaining EmptyText margin removal and PlaceholderRow height - Fix FileRow toast showing "Deleting file" when file isn't actually deleted (progress < 1) * fix: Address remaining review findings (R1-R3) - Add deletePreview calls to deleteFiles batch path to prevent blob URL leaks - Change useFileDeletion import from deep path to barrel (~/utils) - Change useMemo to useEffect for dimensionCache.set (side effect, not derived value) * fix: Address audit comments 2, 5, and 7 - Fix files preservation to distinguish null (missing) from [] (empty) in finalHandler - Add auto-revoke on overwrite in cachePreview to prevent leaked blobs - Add removePreviewEntry for key transfer without revoke - Clean up stale temp_file_id cache entry after promotion to permanent file_id |
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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 →
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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 🗃️
-
🌎 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.