* 🧹 fix: Prune Dangling Skill IDs from Agent Allowlists Deleted skills left their ids behind in every agent's `skills` allowlist: nothing removed them on skill deletion, the builder rendered no chip for unresolvable ids (so users could neither see nor remove them), and at runtime the non-empty allowlist intersected with accessible skills to an empty set — silently disabling the entire skills catalog for the agent even though the panel looked like "no skills selected." - deleteSkill / deleteUserSkills now $pull deleted ids from all agent allowlists (no versioning, timestamps untouched) - createAgent / updateAgent prune allowlist ids whose skill doc no longer exists (existence-only check, never ACL), so poisoned agents self-heal on the next save — including duplicates and sync paths - the builder renders unresolvable allowlist entries as removable "Unavailable skill" chips once the catalog query resolves * 🪞 fix: Keep Skill Queries and Authoring Labels Truthful After Chat Edits Skills authored mid-chat via create_file/edit_file never reached the Skills panel or builder without a manual refresh, and a create_file that overwrote an existing file still announced "Created" in the tool card. - invalidate all skill query caches (refetchType: 'all', since the skill hooks opt out of refetchOnMount) when a completed create_file/edit_file call targets a skills/ path - label create_file completions from the host-authored output summary: overwrites now read "Updated <file>" with the edit icon * ♻️ refactor: Inject Skill Authoring Callback Instead of Query Client useStepHandler took useQueryClient directly, forcing a QueryClientProvider wrapper onto all 54 renderHook calls in its spec. Its only consumer, useEventHandlers, already holds the query client and does this exact invalidation pattern for project/MCP keys — so pass an optional onSkillAuthoringComplete callback instead. Detection stays in the completion handler; the side effect lives with the client. Spec diff collapses to pure additions. * 🩹 fix: Resolve Codex Review Findings on Allowlist Pruning - normalize allowlist candidates to lowercase in filterExistingSkillIds: isValidObjectIdString accepts uppercase hex, but _id.toString() is lowercase, so a casing mismatch silently emptied a valid allowlist (widening scope to the full catalog) - prune agent allowlists immediately after the Skill row deletion in deleteSkill: a SkillFile cleanup failure previously skipped the prune forever, since retries exit early on deletedCount === 0 - filter version-snapshot skills through filterExistingSkillIds in revertAgentVersion so reverting to a pre-delete version cannot resurrect dangling ids - resolve allowlist ids missing from the builder's first catalog page individually via getSkill before labeling them unavailable — a cache miss on a >100-skill catalog no longer invites removing a valid skill * 🚪 fix: Fail Closed When Pruning Empties a Skill Allowlist Codex round 2: an automated prune that empties an enabled allowlist would silently widen the agent to the full accessible catalog (empty + enabled = full per the #13526 semantics). Hygiene must only ever narrow. - deleteSkill/deleteUserSkills: agents whose entire allowlist is being deleted get skills disabled instead of an emptied-but-enabled list; ids are lowercased before the $pull so an uppercase-but-valid id cannot leave the dangling entry behind - createAgent/updateAgent/revertAgentVersion: pruning a non-empty allowlist to zero survivors disables skills; an explicit user-sent skills: [] keeps the full-catalog semantics - builder: a per-id skill lookup only renders the removable "Unavailable skill" chip on a confirmed 404/403 — transient and server errors keep the chip hidden rather than inviting removal |
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| skill | ||
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| librechat.example.yaml | ||
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LibreChat
English · 中文
✨ 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
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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
- Skills: Create reusable
SKILL.mdinstruction bundles for manual, automatic, or always-on agent workflows - Subagents: Delegate focused work to isolated child agent runs with their own context windows
- 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
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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
-
🗣️ 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 S3 with CloudFront for stable media links, edge delivery, signed cookies, and secured downloads
- 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 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.