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anything-llmThe all-in-one AI productivity accelerator. On device and privacy first with no annoying setup or configuration.

The all-in-one AI productivity accelerator. On device and privacy first with no annoying setup or configuration.

58,705 stars
6,349 forks
JavaScript
MIT
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anything-llm

AnythingLLM is an all-in-one AI productivity platform that runs locally with privacy-first design and minimal setup. It combines document chat, AI agents, and multi-user support in a single, fully-configurable application that works with both open-source and commercial LLMs.

Key Features

  • Document Chat with RAG: Ingest PDFs, documents, and files to chat with your data with source citations and intelligent retrieval
  • AI Agent Builder: No-code interface to create custom agents with unlimited tools and intelligent skill selection that reduces token usage by up to 80%
  • Multi-User Support: Control access and experience per user with built-in permissioning and security without compromising privacy
  • Local & Cloud LLM Support: Compatible with OpenAI, local models via Ollama, LM Studio, and any llama.cpp compatible model
  • MCP Compatibility: Full support for Model Context Protocol enabling seamless integration with external tools and services
  • Multimodal Capabilities: Support for both open-source and closed-source models with image and text processing

Use Cases

  • Enterprise Knowledge Management: Build internal ChatGPT for employees to query company documents and knowledge bases securely
  • Workflow Automation: Create AI agents to automate complex tasks like web browsing, data processing, and multi-step workflows
  • Customer Support Enhancement: Deploy embeddable chat widgets on websites to provide AI-powered assistance while maintaining data privacy
  • Research & Analysis: Process large document sets efficiently with built-in optimizations for faster responses and lower costs

Who Is It For

AnythingLLM is designed for organizations and individuals seeking a private, self-hosted AI solution without vendor lock-in or complex configuration. It serves teams ranging from small businesses to enterprises who prioritize data privacy, control, and the flexibility to customize AI workflows to their specific needs.