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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
eb3b353712
* 📡 fix: Publish App-Level MCP Tool Catalogs Without a Reserved Revision Shared MCP servers advertised no tools to agents, so every turn failed with "configured to use MCP tools, but none are available" (#14857). `replaceAppServerTools` returned false whenever a publication carried no `publicationRevision`, but only `refreshChangedTools` reserves one. Every other app-level publisher — the first-connect snapshot, reinitialization, on-demand catalog reads, the retained-catalog restore — was silently dropped. The agent path fails closed on that drop: the skipped write returns null, so reinitialize yields no tools and the turn 503s. Startup hid it. `connectAppServers()` defers the initial refresh and calls `refreshToolList()` itself, which does reserve, so a boot that reaches its MCP servers looks healthy. Only a lazily created app connection — the server not yet up when LibreChat boots, a dropped connection, a cold cache — takes the unreserved path. `ConnectionsRepository` now reserves before its own `tools/list`, matching the list_changed path; a failed reservation publishes unordered rather than failing the connection. Publishers with no pre-fetch reservation point have already fetched by the time they reach the cache, so they take the next revision at write time instead of being discarded. `mergeAppTools` still publishes at revision 0 and stays deferential to a live catalog. * 📡 fix: Bind App Catalog Ordering to the Fetch That Produced It Addresses review feedback on the previous commit: allocating a revision at publish time lets a slow `tools/list` of an old catalog outrank a newer one that reserved after it started, and it would let the retained-catalog restore — which republishes deliberately pre-mutation data — outrank a live catalog. Ordering now travels with the data. `fetchToolsSnapshot` reserves before its first page and returns the ticket on the snapshot, so every app-level publisher reads the revision belonging to the read it is publishing rather than one allocated at an unrelated moment. `fetchOrderedToolsSnapshot` carries the refresh's revision when it defers to one, since that is whose catalog it returns. With the reservation at the single point where app-level tools are read, no publisher can forget it, so `replaceAppServerTools` goes back to refusing an unordered write: a publication that lost its ticket fetched at an unknown time and cannot be ordered. A failed reservation is reported as `orderingUnavailable` rather than swallowed, which keeps the list_changed path retrying instead of publishing a catalog that would be silently dropped, and leaves inspection unaffected by a transient cache outage. `MCPServerInspector.getToolFunctions` becomes `getToolCatalog` and returns the revision with the tools, so there is no variant that quietly discards ordering. * 📡 fix: Retry an Empty App Catalog That Could Not Reserve Ordering Review follow-up. The no-tools-capability branch destructured the reservation result and dropped `orderingUnavailable`, publishing without a revision when the revision store was transiently unavailable. That write is rejected in silence, and unlike the snapshot branch this one returned without reaching `refreshToolList()`, so whatever the server last advertised stayed in place until the connection was recreated or the cache expired. Both branches now route an unreservable catalog through the same retry path. * 📡 fix: Serve Tools Whose Shared Catalog Write Could Not Be Ordered Review follow-up. Only the shared catalog write needs ordering; the tools themselves were just read from the server and are correct to serve. Discarding them because the write could not be ordered is what turns a cache failure into a server that appears to have no tools at all, which is the reported symptom. `updateMCPServerTools` now returns the tools it built when the publication has no reserved revision, instead of null. A superseded write still discards — there another replica holds something newer. Reinitialization also asks the connection to republish under backoff when its snapshot could not reserve ordering, so the shared catalog does not stay cold until something else triggers a refresh. * 📡 fix: Surface a Discarded App Catalog Instead of Debug-Logging It #14857 went a release without a diagnostic because the only trace of a dropped app-level catalog was a debug line no deployment runs. Operators saw agents fail every turn with nothing in the logs to explain it, and the reporter had to read the source to find the cause. A publication discarded because it cannot be addressed or ordered means this server's tools are unavailable to every agent that selected them, and serving an unpublished catalog means every request re-fetches it. Both are warnings now. A superseded write stays at debug: concurrent replicas produce it routinely and the winner already holds newer tools. Tests pin the level, so a later refactor cannot quietly make the failure silent again. * 🧪 test: Pin the Reinitialize Path's Catalog Ordering Reinitialization is the path an agent falls back to when the shared catalog is cold, so it is where #14857 surfaced as "configured to use MCP tools, but none are available". Nothing pinned that it forwards the ordering its snapshot was fetched with, nor that it asks the connection to republish a catalog it could not order. Both assertions fail against the pre-fix source. |
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LibreChat
English · 中文
🚀 What's New in v0.8.8-rc1
- Agent run control: Interrupt or steer an Agent mid-run, queue follow-up messages, and reclaim, edit, or escalate pending steers.
- Human-in-the-loop Agents: Agents stream question progress, ask up to four related questions in one form, pause for input or tool approval, and resume.
- Unified Agent Builder: A redesigned Tools marketplace brings together Skills, MCP, Code Interpreter, orchestration, Programmatic Tool Calling, model-spec controls, and per-tool background and intent settings.
- Readable Agent activity: Generated activity-group headers, parent phase summaries, and live tool intent labels make long reasoning and tool runs easier to scan.
- Code Interpreter workflows: Code and shell tools can run in the background, sandbox images return as viewable artifacts, and highly experimental stateful sessions can reuse prewarmed conversation workspaces.
- Agent extensibility: Experimental Agent Plugins can bundle deployment Skills, MCP servers, and opt-in command hooks, while explicit subagents initialize only when selected.
- Memory, context, and identity: Agents can manage memory with optional per-agent isolation, expose support contacts safely, and show a more faithful Context Usage gauge.
- Sharing and files: Shared conversations show a badge and update at a stable URL, while signed-in viewers can continue them as personal copies.
- Artifact workflows: Open previews fullscreen, work with PowerPoint
.potxtemplates across upload, search, and code execution, upload shell scripts across common MIME variants, export Mermaid diagrams as SVG or PNG, and download original Office files from the artifact panel. - Models and reasoning: Added GPT-5.6 with Responses API reasoning controls, Claude Opus 5 and Sonnet 5, Gemini 3.7 and 3.6 Flash, and Gemini 3.5 Flash-Lite.
- Langfuse observability: Configure encrypted Langfuse connections in-app, let authorized admins open sampled sessions directly, optionally fan out traces by tenant, and suppress central export per run.
- Administration and security: Delegate config sections, encrypt registered secrets, enforce SSRF checks for speech, OCR, and web tools, and generate unique temporary credentials when secrets are blank.
- Messages and navigation: Right-aligned user turns, unified multi-part editing, full-message copy, a dock-style message rail, virtualized search, smooth streaming, and faster Agent startup.
- Streaming and tool reliability: Adaptive provider smoothing, Redis delta batching, dynamic MCP tool refresh, parsed MCP response media types, runtime OAuth recovery, and Agent stream circuit breakers improve long-running workflows.
- Deployment and reliability: Added configurable HTTP timeouts, Amazon DocumentDB 5.0+ support, low-noise Redis and browser observability, and a rolling-upgrade-safe generation protocol.
Read the full v0.8.8-rc1 changelog.
✨ Features
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🖥️ 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 - Agent Plugins: Experimentally bundle deployment Skills and MCP servers into startup-loaded packages
- 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 create React, HTML, and Mermaid content directly in chat
- Open previews fullscreen and export Mermaid diagrams as SVG or PNG
-
🎨 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
-
📖 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.