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
65c81955f0
* feat: Add granular role-based permissions system with Entra ID integration
- Implement RBAC with viewer/editor/owner roles using bitwise permissions
- Add AccessRole, AclEntry, and Group models for permission management
- Create PermissionService for core permission logic and validation
- Integrate Microsoft Graph API for Entra ID user/group search
- Add middleware for resource access validation with custom ID resolvers
- Implement bulk permission updates with transaction support
- Create permission management UI with people picker and role selection
- Add public sharing capabilities for resources
- Include database migration for existing agent ownership
- Support hybrid local/Entra ID identity management
- Add comprehensive test coverage for all new services
chore: Update @librechat/data-schemas to version 0.0.9 and export common module in index.ts
fix: Update userGroup tests to mock logger correctly and change principalId expectation from null to undefined
* fix(data-schemas): use partial index for group idOnTheSource uniqueness
Replace sparse index with partial filter expression to allow multiple local groups
while maintaining unique constraint for external source IDs. The sparse option
on compound indexes doesn't work as expected when one field is always present.
* fix: imports in migrate-agent-permissions.js
* chore(data-schemas): add comprehensive README for data schemas package
- Introduced a detailed README.md file outlining the structure, architecture patterns, and best practices for the LibreChat Data Schemas package.
- Included guidelines for creating new entities, type definitions, schema files, model factory functions, and database methods.
- Added examples and common patterns to enhance understanding and usage of the package.
* chore: remove unused translation keys from localization file
* ci: fix existing tests based off new permission handling
- Renamed test cases to reflect changes in permission checks being handled at the route level.
- Updated assertions to verify that agents are returned regardless of user permissions due to the new permission system.
- Adjusted mocks in AppService and PermissionService tests to ensure proper functionality without relying on actual implementations.
* ci: add unit tests for access control middleware
- Introduced tests for the `canAccessAgentResource` middleware to validate permission checks for agent resources.
- Implemented tests for various scenarios including user roles, ACL entries, and permission levels.
- Added tests for the `checkAccess` function to ensure proper permission handling based on user roles and permissions.
- Utilized MongoDB in-memory server for isolated test environments.
* refactor: remove unused mocks from GraphApiService tests
* ci: enhance AgentFooter tests with improved mocks and permission handling
- Updated mocks for `useWatch`, `useAuthContext`, `useHasAccess`, and `useResourcePermissions` to streamline test setup.
- Adjusted assertions to reflect changes in UI based on agent ID and user roles.
- Replaced `share-agent` component with `grant-access-dialog` in tests to align with recent UI updates.
- Added tests for handling null agent data and permissions loading scenarios.
* ci: enhance GraphApiService tests with MongoDB in-memory server
- Updated test setup to use MongoDB in-memory server for isolated testing.
- Refactored beforeEach to beforeAll for database connection management.
- Cleared database before each test to ensure a clean state.
- Retained existing mocks while improving test structure for better clarity.
* ci: enhance GraphApiService tests with additional logger mocks
- Added mock implementation for logger methods in GraphApiService tests to improve error and debug logging during test execution.
- Ensured existing mocks remain intact while enhancing test coverage and clarity.
* chore: address ESLint Warnings
* - add cursor-based pagination to getListAgentsByAccess and update handler
- add index on updatedAt and _id in agent schema for improved query performance
* refactor permission service with reuse of model methods from data-schema package
* - Fix ObjectId comparison in getListAgentsHandler using .equals() method instead of strict equality
- Add findPubliclyAccessibleResources function to PermissionService for bulk public resource queries
- Add hasPublicPermission function to PermissionService for individual resource public permission checks
- Update getAgentHandler to use hasPublicPermission for accurate individual agent public status
- Replace instanceProjectId-based global checks with isPublic property from backend in client code
- Add isPublic property to Agent type definition
- Add NODE_TLS_REJECT_UNAUTHORIZED debug setting to VS Code launch config
* feat: add check for People.Read scope in searchContacts
* fix: add roleId parameter to grantPermission and update tests for GraphApiService
* refactor: remove problematic projection pipelines in getResourcePermissions for document db aws compatibility
* feat: enhance agent permissions migration with DocumentDB compatibility and add dry-run script
* feat: add support for including Entra ID group owners as members in permissions management + fix Group members paging
* feat: enforce at least one owner requirement for permission updates and add corresponding localization messages
* refactor: remove German locale (must be added via i18n)
* chore: linting in `api/models/Agent.js` and removed unused variables
* chore: linting, remove unused vars, and remove project-related parameters from `updateAgentHandler`
* chore: address ESLint errors
* chore: revert removal of unused vars for versioning
---------
Co-authored-by: Atef Bellaaj <slalom.bellaaj@external.daimlertruck.com>
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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 Assistants 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, 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 without coding
- Flexible & Extensible: Attach tools like DALL-E-3, file search, code execution, and more
- Compatible with Custom Endpoints, OpenAI, Azure, Anthropic, AWS Bedrock, and more
- Model Context Protocol (MCP) Support for Tools
- Use LibreChat Agents and OpenAI Assistants with Files, Code Interpreter, Tools, and API Actions
- 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
- 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
- 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, Deutsch, Español, Français, Italiano, Polski, Português Brasileiro
- Русский, 日本語, Svenska, 한국어, Tiếng Việt, 繁體中文, العربية, Türkçe, Nederlands, עברית
-
🧠 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.