What is AnythingLLM?
AnythingLLM is a full-stack AI application that combines chat, RAG (document Q&A), agents, and MCP server support into one desktop app. Upload PDFs, websites, or code — AnythingLLM handles embedding, vector storage, and retrieval automatically. Connect any LLM provider, use built-in agents with tool calling, and extend functionality through MCP servers. Everything runs privately on your machine.
Answer-Ready: AnythingLLM is an all-in-one AI desktop app with chat, RAG, agents, and MCP support. Upload documents, connect any LLM, ask questions with automatic retrieval. Built-in vector database, multi-user support, and agent workspace. 35k+ GitHub stars.
Best for: Teams wanting private, self-hosted AI with document Q&A. Works with: OpenAI, Anthropic Claude, Ollama, Azure, and 15+ LLM providers. Setup time: Under 3 minutes.
Core Features
1. Document RAG (Zero Config)
Upload any document type and ask questions:
- PDF, DOCX, TXT, CSV
- Websites (auto-scrape)
- YouTube transcripts
- GitHub repos
- Confluence, Notion exports
2. MCP Server Support
// Connect MCP servers in settings
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem", "/path"]
},
"github": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-github"]
}
}
}3. Multi-Provider LLM Support
| Provider | Models |
|---|---|
| OpenAI | GPT-4o, GPT-4o-mini |
| Anthropic | Claude Sonnet, Claude Haiku |
| Ollama | Llama, Mistral, Gemma (local) |
| Azure | Azure OpenAI |
| AWS Bedrock | All Bedrock models |
| Gemini Pro | |
| LM Studio | Any local model |
| OpenRouter | 100+ models |
4. Agent Workspace
Built-in agent capabilities:
- Web browsing and search
- Code execution
- File management
- RAG-enhanced responses
- MCP tool calling
5. Multi-User & Permissions
Admin → Manage users, workspaces, models
Manager → Create workspaces, upload docs
Default → Chat within assigned workspaces6. Built-in Vector Database
No external setup needed — AnythingLLM includes LanceDB. Also supports:
- Pinecone
- Chroma
- Weaviate
- Qdrant
- Milvus
Use Cases
| Use Case | How |
|---|---|
| Company Wiki Q&A | Upload docs → RAG workspace |
| Code Assistant | Connect GitHub MCP + Ollama |
| Research | Upload papers → Ask questions |
| Customer Support | Upload knowledge base → Agent |
FAQ
Q: Is it truly private? A: Yes, desktop app runs fully local. Use Ollama for local models and LanceDB (built-in) for vectors. Nothing leaves your machine.
Q: How does MCP integration work? A: Configure MCP servers in settings. Agents can call MCP tools alongside built-in tools for extended capabilities.
Q: Can multiple people use it? A: Yes, multi-user support with role-based access control. Deploy via Docker for team use.