Ross ROSS = Recommend OSS · open-source software intelligence for agents

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 observed · 2026-08-28

github.com/danny-avila/LibreChat · homepage · TypeScript · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

84/100

  • Activity 99
  • Release rhythm 60
  • Longevity 92

Flags: prerelease_only

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 11.0
  • age_days: 1299
  • days_rel: 19
  • days_push: 7
  • n_releases_24m: 49

Full methodology

Adoption not part of the score

42491 stars · 8812 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

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

application · maturity active

chatbot chat-interface agent-framework mcp rag auth llm-inference search-engine ocr self-hosted artificial-intelligence large-language-models chatbots self-hosted web-development self-hosted cross-platform cloud chatgpt-clone multi-provider code-interpreter artifacts agents webui sso openai anthropic gemini ai-agents retrieval-augmented-generation web-server docker nodejs

9 sources

Member repositories

RepositoryRoleHealth v2
danny-avila/LibreChatmain84

For agents

markdown · JSON · MCP: product_card(name="danny-avila/LibreChat")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem