LibreChat
Enhanced ChatGPT Clone: Features Agents, MCP, Skills, 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 observed · 2026-10-20
Health v2 · maintenance only
85/100
- Activity 100
- Release rhythm 60
- Longevity 96
Flags: prerelease_only
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 11
- age_days: 1347
- days_rel: 20
- days_push: 1
- n_releases_24m: 52
Adoption not part of the score
46021 stars · 9458 forks observed · 2026-10-20
What it is AI-extracted, prompt v1, taxonomy v1, 2026-09-28, confidence 0.97
LibreChat is an open‑source, self‑hosted ChatGPT‑style web application written in TypeScript. It provides a unified UI for multiple LLM providers, agents, RAG, code execution and extensible tooling.
Use cases
- run a private ChatGPT clone with multiple AI model providers
- build custom AI agents that can call tools, search the web, or run code
- enable enterprise SSO/OAuth authentication for AI chat services
- search past conversations, files and code snippets instantly
- use the built‑in code interpreter to execute scripts in a sandbox
- create generative UI artifacts like React components or Mermaid diagrams
When to choose
- You need a fully self‑hosted, customizable chat interface for LLMs.
- You want to integrate many model providers (OpenAI, Anthropic, Azure, etc.) in one place.
- You require agentic capabilities with MCP, tool calling, and RAG out of the box.
- Your organization needs enterprise authentication (SSO, LDAP, 2FA).
When to avoid
- You only need a simple single‑model chatbot without agent features.
- You prefer a native desktop or mobile app rather than a web‑based UI.
- You lack Docker or Node.js infrastructure to run the service.
Facets
application · maturity active
llm-inference rag api-framework http-server auth search-engine agent-framework web-framework artificial-intelligence chatbots large-language-models web-development cross-platform cli self-hosted open-source multi-model mcp agent-framework code-interpreter artifacts message-search oauth sso retrieval-augmented-generation devops nodejs docker web-server
10 sources
- readme: https://github.com/LibreChat-AI/LibreChat · fetched 2026-10-20 · e733765b8425
- homepage: https://librechat.ai/ · fetched 2026-09-14 · 4001b7e1b1ea
- site_page: https://www.librechat.ai/docs/features/mcp · fetched 2026-09-14 · ca8feacf473c
- site_page: https://www.librechat.ai/docs · fetched 2026-09-14 · cebf557cb451
- site_page: https://www.librechat.ai/docs/features/agents · fetched 2026-09-14 · 26bda53aa789
- site_page: https://www.librechat.ai/docs/features/code_interpreter · fetched 2026-09-14 · b3f6a54600c3
- site_page: https://www.librechat.ai/docs/configuration/pre_configured_ai · fetched 2026-09-14 · 2676f2facfe4
- site_page: https://www.librechat.ai/docs/features/artifacts · fetched 2026-09-14 · 2fa25f7c8763
- site_page: https://www.librechat.ai/docs/configuration/meilisearch · fetched 2026-09-14 · f86160ec39ec
- site_page: https://www.librechat.ai/changelog · fetched 2026-09-14 · 9b191d5cf10b
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| LibreChat-AI/LibreChat | main | 85 |
| LibreChat-AI/rag-api | backend | 84 |
| LibreChat-AI/docs | docs | 70 |
| LibreChat-AI/librechat-config-yaml | infra | 72 |
For agents
markdown · JSON · MCP: product_card(name="LibreChat-AI/LibreChat")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem