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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
5c939d129b
* 🔌 feat: Add Agent Plugins v1.0.0 Support Implements the Agent Plugins 1.0.0 specification so LibreChat can load portable plugin packages: a `plugin.json` manifest, `skills/` holding Agent Skills, `mcp.json` describing MCP servers, and reverse-domain extension directories. - Validate the closed `plugin.json` schema, selecting rules from `$schema` without retrieving it. Unknown top-level fields and a non-object `extensions` field are reported and ignored; every other violation rejects the plugin. - Enforce plugin-root containment through realpath, including for paths whose leaf does not exist, and apply the narrowest failure boundary per component. - Map `mcp.json` onto LibreChat MCP options across stdio, Streamable HTTP, and legacy HTTP+SSE, bypassing the config loader's `${VAR}` process-env expansion so plugin values never resolve against the server environment. - Expand only `${PLUGIN_ROOT}` and `${PLUGIN_DATA}`, once and non-recursively, in `args`, `env` values, and `cwd`; supply both variables to the subprocess after configured `env`, and reject entries that declare them. - Discover skills from the immediate children of `skills/` only, reusing the deployment skill loader so plugin skills are ordinary deployment skills with a distinct id namespace. - Read LibreChat's `ai.librechat` extension directory and hand `hooks/hooks.json` to the Claude hook compatibility layer. - Load operator-installed plugins from `DEPLOYMENT_PLUGINS_DIR` at startup, merging their skills into the deployment skill registry and their MCP servers into the app config. Plugins never displace a configured server or deployment skill. - Add `cwd` to the stdio MCP transport, which the specification requires and LibreChat did not previously support. Component failures stay isolated: a malformed `mcp.json`, an invalid skill, or a bad hooks document never prevents the rest of a plugin from loading. * 🔒 fix: Contain Agent Plugins config at the runtime boundary Review of #14704 surfaced that every real finding sat where the loader's output crosses into LibreChat's existing runtime, not in the specification logic. The loader deliberately left plugin placeholders literal, but downstream layers re-processed the same fields and undid it. - Mark plugin MCP configuration with `source: 'plugin'` and return it verbatim from `processMCPEnv`. Without this a remote plugin could declare `Authorization: Bearer ${OPENAI_API_KEY}` and receive host credentials at its own origin. The gate reads the configuration rather than a caller-supplied flag, so no future call site can reintroduce the leak by omitting it. - Skip `preProcessGraphTokens` for plugin configuration as well; it resolves placeholders into headers, url, and args on the same path. - Reject plugin server names that change under `normalizeServerName`. Tool keys embed the normalized name while request-time resolution uses the raw name, so an unstable name published tools that nothing could resolve. - Reject `__proto__`, `constructor`, and `prototype` as server names, and merge plugin servers with `Object.defineProperty` and an own-property conflict check, so a package cannot reach a prototype setter or collide with an inherited member. - Enforce manifest-name uniqueness before components are accepted; two packages sharing a name would share one `PLUGIN_DATA` directory. - Isolate a failed data-directory creation to the single plugin instead of rejecting the whole scan. - Prefix rejected-plugin diagnostics with the directory, which is the only identifier a package without a valid manifest has. - Type extension namespace contents as JSON rather than `unknown`, and correct the header field-value comment to name obs-text. Verified end to end from the built package: a plugin declaring an environment placeholder in a header reaches the transport with the placeholder intact while operator-authored configuration still resolves normally. * 🔇 fix: Report Agent Plugin hooks that will not run The loader reads `ai.librechat/hooks/hooks.json`, but nothing registers the resulting plan, and startup supplies no hook capabilities. A package declaring hooks was therefore accepted in silence, leaving an operator to believe the hooks ran. Detect the document when no capabilities are registered and report it as unsupported, so the limitation is visible in startup diagnostics rather than inferred from behavior that never happens. * 🧯 test: Restore MCP startup test mocks Carries the two mock additions from #14711 so this branch can prove itself green. `initializeMCPs` now calls `syncStaticTools`, which the server startup specs do not stub, so they fail on every branch that has not picked this up. Drops out of the rebase once #14711 lands. Co-authored-by: Danny Avila <danny@librechat.ai> |
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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
- Open-Source & Self-Hostable: powered by ClickHouse/code-interpreter
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🔦 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 →
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🪄 Generative UI with Code Artifacts:
- Code Artifacts allow creation of React, HTML, and Mermaid diagrams directly in chat
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🎨 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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🎛️ Admin Panel:
- Browser-based UI to manage users, groups, roles, and configuration overrides
- Edit settings and per-role/group permissions live, without redeploying
- Bundled with the Docker Compose stacks for one-command setup
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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
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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.