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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
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* fix: Enforce MCP Permissions for Agent Tools
* fix: Measure MCP Image Limit by Decoded Size
* fix: gate cached MCP tools and tighten remote image URL detection
Addresses Codex review findings on the MCP permissions PR:
- filterAuthorizedTools previously fast-accepted any tool present in the
global tool cache before reaching the MCP-use permission gate. App-level
MCP tools (keyed `name_mcp_server` by MCPServerInspector and merged into
the cache via mergeAppTools) therefore bypassed the canUseMCP check,
letting a user without MCP_SERVERS.USE persist/bind them. Route all
MCP-delimited tools through the permission + server-access gate
regardless of cache presence.
- assertImageDataWithinLimit / image formatter used startsWith("http")
to skip the size cap, which also matched base64 payloads that happen to
begin with those chars. Require http:// or https:// via a shared
isRemoteImageUrl helper so oversized inline base64 can no longer bypass
MCP_IMAGE_DATA_MAX_BYTES.
Adds regression tests for both paths.
* fix: address Codex round-2 findings on MCP permissions PR
- parsers.ts: parseAsString dropped the image payload for unrecognized
providers, returning only `Image result: <mimeType>`. Pre-PR these
items survived via JSON.stringify(item). Keep the size guard but fall
through to JSON.stringify so the data/URL is preserved.
- MCP.js: the runtime MCP-use check only read `configurable.user`, so
paths that propagate `user_id` only (e.g. the OpenAI-compatible API in
agents/openai/service.ts) rejected every MCP tool call for an
authenticated user. Add resolveMCPPermissionUser: use the safe user
directly when it already carries a role (no extra DB call), otherwise
fall back to loading the role by user_id. Update fail-closed tests to
the resolved behavior.
- v1.js: the update path only re-filtered newly added MCP tools, so a
user who lost MCP_SERVERS.USE kept existing MCP bindings on edit while
create/duplicate/revert stripped them. Strip all MCP tools on update
when the permission is revoked; keep the narrower new-tool gating (and
disconnect/registry preservation) when it is intact.
Updates and adds regression tests for all three paths.
* fix: populate safe user at producer instead of resolving in runtime MCP check
Corrects the Finding B approach from the previous commit. Rather than
loading the user by id inside the runtime MCP permission check, populate
`configurable.user` (and createRun's `user`) with the full safe user at
the producer, matching the in-repo agent controllers
(responses.js / openai.js) which already pass `createSafeUser(req.user)`.
- service.ts: derive `safeUser` via createSafeUser(req.user) and pass it
to both createRun and processStream's configurable, so the role-bearing
identity reaches the runtime `userCanUseMCPServers(configurable.user)`
check. Falls back to a bare id when the host app attached no user,
which correctly leaves MCP gated (fail closed).
- MCP.js: revert the resolveMCPPermissionUser DB-load fallback; the
runtime check again reads configurable.user directly and fails closed
when absent (defense in depth).
- MCP.spec.js: revert to the matching runtime test expectations.
* test: cover safe-user propagation in createAgentChatCompletion
Adds a focused spec for the OpenAI-compatible chat completion service
(the producer fixed for Codex Finding B). Injects mocked deps and asserts
that createRun and processStream's configurable.user carry the role from
req.user (with sensitive fields stripped by createSafeUser), and that an
unauthenticated request falls back to a bare { id: 'api-user' } so the
runtime MCP check fails closed.
* fix: address Codex round-3 findings + TS6133
- MCP.js (P1): the assistants required-action path invokes tool._call(
toolInput) with no LangChain config, so the runtime check saw no
configurable.user and rejected authorized users. createToolInstance now
captures the creation-time user (req.user via createMCPTool) and _call
falls back to it for both the permission check and userId. Still fails
closed when neither config nor captured user carries a role.
- v1.js (P2): the update-path isMCPTool used a bare mcp_delimiter substring
check, misclassifying action tools whose operationId contains "_mcp_"
(e.g. sync_mcp_state_action_...) as MCP and dropping them on a
permission-revoked edit. Delegate to the canonical isActionTool so only
real MCP tools are gated. Regression test added.
- service.ts: drop the now-unused IUser import (TS6133); derive reqUser's
type from createSafeUser's own parameter instead.
* fix: resolve TS7022 self-reference in service.spec mock res
The mock response object referenced `res` inside its own `status`/`json`
initializers without a type annotation, so tsc inferred `res` as `any`
(TS7022). Annotate the object and assign the self-referencing chainable
methods after declaration.
* fix: correct round-4 findings (isActionTool import, captured user, partial-update)
- v1.js: import isActionTool from librechat-data-provider (its real export;
@librechat/api does not export it, so the prior import was undefined and
threw TypeError). Exclude action tools from MCP classification in both the
main filterAuthorizedTools loop and the update path, so action tools whose
operationId contains _mcp_ (e.g. sync_mcp_state_action_...) are preserved
regardless of MCP permission.
- v1.js: evaluate the effective tool set (updateData.tools ?? existingAgent.tools)
so a tools-less PATCH by a user who lost MCP_SERVERS.USE still strips stale
MCP bindings, matching create/duplicate/revert.
- MCP.js: createToolInstance now receives the construction-time user and _call
falls back to it (permissionUser) when configurable.user is absent, fixing the
assistants required-action path that invokes _call without a config and
resolving the capturedUser no-undef/ReferenceError.
- Tests: action-tool preservation (authorized + denied), tools-less revocation
PATCH, updated revocation test to expect all MCP tools stripped.
Affected specs pass locally: MCP 49/49, filterAuthorizedTools 49/49.
* fix: guard isActionTool against non-string tools; correct actionDelimiter import
Two test regressions from the prior commit:
- The main filterAuthorizedTools loop called isActionTool(tool) directly,
but isActionTool does toolName.indexOf(...) and throws on null/undefined.
Compute isActionToolName = typeof tool === 'string' && isActionTool(tool)
once and reuse it, restoring graceful null/undefined handling.
- The action-tool test referenced Constants.actionDelimiter (undefined);
actionDelimiter is a standalone librechat-data-provider export. Import and
use it directly.
filterAuthorizedTools 36/36 and MCP 40/40 pass locally.
* fix: address MCP permission review follow-ups
* fix: preserve shared agent MCP tools
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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
-
- 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
-
🎨 Customizable Interface:
- Customizable Dropdown & Interface that adapts to both power users and newcomers
-
- 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
-
📥 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 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.