mirror of
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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
439bc98682
* 🌊 feat: Implement multi-conversation feature with added conversation context and payload adjustments
* refactor: Replace isSubmittingFamily with isSubmitting across message components for consistency
* feat: Add loadAddedAgent and processAddedConvo for multi-conversation agent execution
* refactor: Update ContentRender usage to conditionally render PlaceholderRow based on isLast and isSubmitting
* WIP: first pass, sibling index
* feat: Enhance multi-conversation support with agent tracking and display improvements
* refactor: Introduce isEphemeralAgentId utility and update related logic for agent handling
* refactor: Implement createDualMessageContent utility for sibling message display and enhance useStepHandler for added conversations
* refactor: duplicate tools for added agent if ephemeral and primary agent is also ephemeral
* chore: remove deprecated multimessage rendering
* refactor: enhance dual message content creation and agent handling for parallel rendering
* refactor: streamline message rendering and submission handling by removing unused state and optimizing conditional logic
* refactor: adjust content handling in parallel mode to utilize existing content for improved agent display
* refactor: update @librechat/agents dependency to version 3.0.53
* refactor: update @langchain/core and @librechat/agents dependencies to latest versions
* refactor: remove deprecated @langchain/core dependency from package.json
* chore: remove unused SearchToolConfig and GetSourcesParams types from web.ts
* refactor: remove unused message properties from Message component
* refactor: enhance parallel content handling with groupId support in ContentParts and useStepHandler
* refactor: implement parallel content styling in Message, MessageRender, and ContentRender components. use explicit model name
* refactor: improve agent ID handling in createDualMessageContent for dual message display
* refactor: simplify title generation in AddedConvo by removing unused sender and preset logic
* refactor: replace string interpolation with cn utility for className in HoverButtons component
* refactor: enhance agent ID handling by adding suffix management for parallel agents and updating related components
* refactor: enhance column ordering in ContentParts by sorting agents with suffix management
* refactor: update @librechat/agents dependency to version 3.0.55
* feat: implement parallel content rendering with metadata support
- Added `ParallelContentRenderer` and `ParallelColumns` components for rendering messages in parallel based on groupId and agentId.
- Introduced `contentMetadataMap` to store metadata for each content part, allowing efficient parallel content detection.
- Updated `Message` and `ContentRender` components to utilize the new metadata structure for rendering.
- Modified `useStepHandler` to manage content indices and metadata during message processing.
- Enhanced `IJobStore` interface and its implementations to support storing and retrieving content metadata.
- Updated data schemas to include `contentMetadataMap` for messages, enabling multi-agent and parallel execution scenarios.
* refactor: update @librechat/agents dependency to version 3.0.56
* refactor: remove unused EPHEMERAL_AGENT_ID constant and simplify agent ID check
* refactor: enhance multi-agent message processing and primary agent determination
* refactor: implement branch message functionality for parallel responses
* refactor: integrate added conversation retrieval into message editing and regeneration processes
* refactor: remove unused isCard and isMultiMessage props from MessageRender and ContentRender components
* refactor: update @librechat/agents dependency to version 3.0.60
* refactor: replace usage of EPHEMERAL_AGENT_ID constant with isEphemeralAgentId function for improved clarity and consistency
* refactor: standardize agent ID format in tests for consistency
* chore: move addedConvo property to the correct position in payload construction
* refactor: rename agent_id values in loadAgent tests for clarity
* chore: reorder props in ContentParts component for improved readability
* refactor: rename variable 'content' to 'result' for clarity in RedisJobStore tests
* refactor: streamline useMessageActions by removing duplicate handleFeedback assignment
* chore: revert placeholder rendering logic MessageRender and ContentRender components to original
* refactor: implement useContentMetadata hook for optimized content metadata handling
* refactor: remove contentMetadataMap and related logic from the codebase and revert back to agentId/groupId in content parts
- Eliminated contentMetadataMap from various components and services, simplifying the handling of message content.
- Updated functions to directly access agentId and groupId from content parts instead of relying on a separate metadata map.
- Adjusted related hooks and components to reflect the removal of contentMetadataMap, ensuring consistent handling of message content.
- Updated tests and documentation to align with the new structure of message content handling.
* refactor: remove logging from groupParallelContent function to clean up output
* refactor: remove model parameter from TBranchMessageRequest type for simplification
* refactor: enhance branch message creation by stripping metadata for standalone content
* chore: streamline branch message creation by simplifying content filtering and removing unnecessary metadata checks
* refactor: include attachments in branch message creation for improved content handling
* refactor: streamline agent content processing by consolidating primary agent identification and filtering logic
* refactor: simplify multi-agent message processing by creating a dedicated mapping method and enhancing content filtering
* refactor: remove unused parameter from loadEphemeralAgent function for cleaner code
* refactor: update groupId handling in metadata to only set when provided by the server
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LibreChat
✨ 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
- 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
-
🎨 Customizable Interface:
- Customizable Dropdown & Interface that adapts to both power users and newcomers
-
🗣️ 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
-
🔍 Search & Discovery:
- Search all messages/conversations
-
👥 Multi-User & Secure Access:
- Multi-User, Secure Authentication with OAuth2, LDAP, & Email Login Support
- Built-in Moderation, and Token spend tools
-
⚙️ 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 brings together the future of assistant AIs with the revolutionary technology of OpenAI's ChatGPT. Celebrating the original styling, LibreChat gives you the ability to integrate multiple AI models. It also integrates and enhances original client features such as conversation and message search, prompt templates and plugins.
With LibreChat, you no longer need to opt for ChatGPT Plus and can instead use free or pay-per-call APIs. We welcome contributions, cloning, and forking to enhance the capabilities of this advanced chatbot platform.
Click on the thumbnail to open the video☝️
🌐 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.