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AnythingLLM

AnythingLLM

Verified

The full-stack AI application for chatting with your documents and building private LLM workspaces

Productivity Agents Open Source

Released

2023-06

Country

United States

API

Available

Self-Host

Yes

GitHub Stars

61,641

Last Updated

2026-06

About AnythingLLM

AnythingLLM is a full-stack, open-source AI application built by Mintplex Labs to make private, document-grounded AI accessible with no frustrating setup. Where most RAG toolkits hand you building blocks, AnythingLLM ships a complete product: an intuitive chat UI with drag-and-drop uploads, source citations, multi-user workspaces, AI agents, and built-in optimizations for large document sets. You bring your own LLM and embedding provider — or run fully local — and AnythingLLM handles the rest. The application is designed for flexibility and privacy. It works with any commercial or local LLM and any OpenAI-compatible embedding API, so teams can keep everything on their own infrastructure for data sovereignty. Workspaces are isolated so different teams or projects get their own scoped knowledge, and the system includes optimizations that lower the cost of working with large document collections. A full Developer API and SDK allow custom integrations into broader products, and native browser and TTS capabilities round out the feature set. AnythingLLM has become one of the most popular self-hostable AI applications, with a large and active community (tens of thousands of GitHub stars). It appeals to organizations that want a turnkey, private alternative to hosted document-chat services — one they can audit, customize, and run entirely on their own hardware. It is aimed at teams and individuals who want to chat with their own documents, deploy private AI workspaces, and use AI agents over proprietary data — without sending sensitive material to a third party or building a RAG stack from scratch.

Verdict

The turnkey, self-hostable app for chatting with your own documents. AnythingLLM's full-product approach — chat UI, isolated workspaces, agents, and any-LLM flexibility — makes it the most popular open-source choice for private, document-grounded AI, provided you can self-host.

Features

Intuitive chat UI with drag-and-drop uploads
Source citations on answers
Isolated, multi-user workspaces
AI agents over your data
Works with any LLM / local models
OpenAI-compatible embedding APIs
Full Developer API & SDK
Optimizations for large document sets

Detailed Ratings

Ease of Use
7.8
Value for Money
8.4
Features
8.2
Support
7.6
Performance
8.0
Overall Rating
8.1 /10

Pros & Cons

Pros

  • Full product, not just building blocks — chat UI, agents, and workspaces out of the box
  • Bring any LLM or run fully local for data sovereignty
  • Isolated workspaces scope knowledge per team or project
  • Open-source and fully self-hostable
  • Large, active community (60k+ GitHub stars)

Cons

  • Self-hosting requires technical setup and infrastructure
  • Quality depends on the LLM and embedding model you choose
  • Less polished than premium hosted document-chat SaaS

Use Cases

Private document Q&ATeam knowledge basesChatting with internal/proprietary dataCompliance-sensitive AI deploymentsCustom AI app integrations via API

Who Is It For?

Teams and individuals who want a private, document-grounded AI application they can self-host and customize, without building a RAG stack from scratch

#rag#document-chat#open-source#self-hosted#private-ai#llm#workspaces

Frequently Asked Questions

What is AnythingLLM?

AnythingLLM is a full-stack, open-source AI application for chatting with your documents, running AI agents, and building private, multi-user LLM workspaces. It ships a complete product — chat UI, citations, workspaces, and agents — with no frustrating setup.

Is AnythingLLM free?

Yes. AnythingLLM is free and open-source and can be self-hosted. You only pay for the LLM and embedding providers you choose to use, or run entirely local for free.

Can AnythingLLM run fully locally for privacy?

Yes. AnythingLLM works with local LLMs and any OpenAI-compatible embedding API, so you can keep all documents and processing on your own infrastructure for data sovereignty.

How is AnythingLLM different from a RAG framework?

RAG frameworks give you building blocks; AnythingLLM is a complete application. It provides a ready chat UI, multi-user workspaces, agents, source citations, and optimizations for large document sets — so you deploy a product rather than assembling one.

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AR Reviewed by AgentRadar · Reviewed on · How we rate

Profiles are AI-assisted from public information — not independently hands-on tested.