What is LibreChat?

One deployment puts OpenAI, Anthropic, Google, Bedrock and any OpenAI-compatible endpoint behind a single login, and its agent builder lets non-programmers assemble assistants — instructions, tools, file search, code execution, MCP servers — then share them with access controls by user, group or role, with LDAP, OIDC and SAML covering enterprise sign-on. The cost is operational: a default install already runs six containers, and code execution and web search each add further services or external keys. AnythingLLM remains the simpler pick for one person wanting one container; LibreChat is built for the multi-user case. ClickHouse acquired the project in November 2025, stating the licence stays MIT.

What can you do with LibreChat?

Every provider behind one login — A single YAML file declares custom endpoints, model lists and interface options, with keys interpolated from the environment — Ollama, OpenRouter, Groq or a corporate gateway sit beside the first-party providers, and the file is optional until you need it.
Agents built in the UI, shared under access control — Each agent toggles its own capabilities — code execution, file search, web search, OpenAPI actions, artifacts, MCP tools — can hand off to specialist agents or chain them, and is shared as viewer, editor or owner to users, groups, roles or everyone.
MCP per user, not per server — MCP servers attach globally, through the UI, or per agent; each signed-in user gets an isolated connection with their own OAuth flow and token refresh, and the docs are direct that only the streamable-HTTP transport is meant for production.
File chat as an honest, separate service — Uploads are embedded by a dedicated RAG service backed by PostgreSQL with pgvector and retrieved into the prompt on demand — a real vector pipeline rather than a bolt-on, at the price of two more processes to run.
Operated like a product — An admin panel manages users, groups and configuration; conversation search runs on Meilisearch; speech-to-text, text-to-speech, artifact previews and thirty-plus interface languages ship in the box, with Docker Compose the default and a Helm chart for Kubernetes.

Before you choose LibreChat

Agents' code execution ran against a hosted subscription that is currently closed to new users; the underlying Apache-2.0 service exists, but you deploy it yourself.
Agents are assembled in the UI and cannot be declared in configuration files — a long-standing request from teams that manage everything as code.Reported in#7741
No 1.0 in three years and every release is tagged prerelease, so pinning versions and reading changelogs is part of operating it.

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Frequently asked questions

Is LibreChat free for commercial use?

LibreChat is released under the MIT licence — OSI-approved open source, which permits commercial use.

How can LibreChat be deployed?

LibreChat is available as Self-hosted.

Documentation

Reproduced from the danny-avila/LibreChat README, published under MIT. Read the original ↗

🚀 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 .potx templates 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

🖥️ 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
🔧 Code Interpreter API:
- 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
🔦 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.md instruction 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
🔍 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
💾 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
🌊 Resumable Streams:
- 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
🎛️ 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
⚙️ 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.