# danny-avila/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

Repository: https://github.com/danny-avila/LibreChat
Canonical: https://ross.abutalabs.com/products/librechat
Homepage: https://librechat.ai/
Language: TypeScript
License: MIT
License Family: permissive
Topics: ai, chatgpt, clone, chatgpt-clone, librechat, anthropic, claude, azure, openai, vision, google, gemini, webui, artifacts, aws, o1, deepseek, responses-api, gpt-5, mcp
Last push: 2026-08-26T23:16:56+00:00

## Health v2 (maintenance only)
Score: 84/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 60, longevity 92
- inputs: {"age_days": 1299, "days_push": 7, "days_rel": 19, "gap_med": 11.0, "n_releases_24m": 49}
- flags: prerelease_only
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 42491, forks 8812 (observed 2026-08-28T04:12:08.777698+00:00)

## What it is
LibreChat is an open-source, self-hosted web application providing a unified ChatGPT-style interface for multiple AI providers (OpenAI, Anthropic, Google, AWS Bedrock, Azure, and more). It supports agents, MCP tool integration, code interpretation, RAG file chat, artifacts, message search, and enterprise-ready multi-user authentication.

## Use cases
- self-host a ChatGPT alternative with my own API keys
- chat with multiple AI models from one interface
- build custom AI assistants with tools and MCP servers
- chat with my documents using RAG
- deploy a multi-user AI chat platform with SSO
- run code generated by AI in a sandbox
- give an LLM web search and file upload capabilities

## When to choose
- you want a self-hosted, multi-provider chat UI for individuals or teams
- you need agents with tools, MCP integration, and code execution out of the box
- you require enterprise features like SSO, LDAP, moderation, and admin panels
- you want to avoid vendor lock-in to a single LLM provider

## When to avoid
- you need a lightweight CLI or headless LLM API client rather than a full web app
- you want a minimal single-provider chatbot with no server infrastructure
- you need a native desktop or mobile app rather than a browser-based interface
- you only need raw LLM API access without a UI

## Facets
- artifact type: application
- maturity: active
- function: chatbot, chat-interface, agent-framework, mcp, rag, auth, llm-inference, search-engine, ocr, self-hosted
- domain: artificial-intelligence, large-language-models, chatbots, self-hosted, web-development
- platform: self-hosted, cross-platform, cloud
- tags: chatgpt-clone, multi-provider, code-interpreter, artifacts, agents, webui, sso, openai, anthropic, gemini, ai-agents, retrieval-augmented-generation, web-server, docker, nodejs

## Member repositories
- danny-avila/LibreChat (main) score 84

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:08.777698+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:22:41.010819+00:00, confidence not recorded.
  - readme: https://github.com/danny-avila/LibreChat (fetched 2026-08-28T04:12:08.777698+00:00, sha e2008c2c032e)
  - homepage: https://librechat.ai/ (fetched 2026-08-29T07:46:27.476146+00:00, sha c17d11d0b777)
  - site_page: https://www.librechat.ai/docs (fetched 2026-08-29T07:46:27.490014+00:00, sha cebf557cb451)
  - site_page: https://www.librechat.ai/docs/features/agents (fetched 2026-08-29T07:46:27.494421+00:00, sha be9055108f79)
  - site_page: https://www.librechat.ai/docs/features/code_interpreter (fetched 2026-08-29T07:46:27.497422+00:00, sha 4043c24189ea)
  - site_page: https://www.librechat.ai/docs/configuration/pre_configured_ai (fetched 2026-08-29T07:46:27.499495+00:00, sha c8ed0e4e0fb8)
  - site_page: https://www.librechat.ai/docs/features/artifacts (fetched 2026-08-29T07:46:27.501234+00:00, sha 5ce760913079)
  - site_page: https://www.librechat.ai/docs/features/mcp (fetched 2026-08-29T07:46:27.504668+00:00, sha e4c12f41e889)
  - site_page: https://www.librechat.ai/changelog (fetched 2026-08-29T07:46:27.492148+00:00, sha 7242c8d0607d)
- Data as of 2026-08-30T08:39:29.467469+00:00.