Mintplex-Labs/AnythingLLM
The all-in-one AI productivity accelerator. On device and privacy first with no annoying setup or configuration.
AnythingLLM is an open-source, all-in-one AI app from Mintplex Labs that lets you chat with your documents, build no-code agents, and run privately on your own device. It bundles RAG and connectors to local or cloud LLMs like Ollama, OpenAI, and Anthropic into one desktop or self-hosted tool.
Our Review
AnythingLLM, built by Mintplex Labs, has passed 60,000 GitHub stars as a privacy-first way to get a full AI workspace without piping your data to a vendor. Drop in PDFs, sites, and notes; it handles the embedding, retrieval, and chat, and you can build no-code agents on top, all running locally if you want.
What AnythingLLM does:
- •Chat with your documents upload PDFs, docs, and websites; it embeds and indexes them for retrieval-augmented chat with citations.
- •No-code AI agents build agents that browse the web, run tools, and act on your data without writing code.
- •Local or cloud models run fully offline with Ollama, LM Studio, and LocalAI, or connect OpenAI, Anthropic, and others.
- •Built-in vector database ships with a vector store, or connect your own, so retrieval works out of the box.
- •Desktop app or self-hosted use the one-click desktop app, or self-host the multi-user version with Docker.
- •Workspaces and permissions organize documents and chats into workspaces with multi-user access control.
Getting started:
Download the AnythingLLM desktop app from anythingllm.com, or self-host with Docker from the repo. Create a workspace, upload documents, pick a model, and start chatting. Docs are linked from the repo.
Limitations:
AnythingLLM is broad, covering chat, RAG, agents, and multi-user workspaces, so a single-purpose need may be served by something lighter. Local-model quality and speed depend on your hardware. Self-hosting the multi-user server is more involved than the one-click desktop app, and as a fast-moving project, features and integrations change between releases.
Our Verdict
AnythingLLM is one of the most popular open-source ways in 2026 to get a private, all-in-one AI workspace. If you want to chat with your own documents, build simple agents, and keep everything on your device or your own server, AnythingLLM packages all of that together, with 60,000 stars and an MIT license.
For vibe builders, the desktop app is the appeal: install it, drop in your files, and you have a working document chatbot and no-code agents in minutes, with no servers to manage and the option to run fully offline.
For developers, AnythingLLM self-hosts with Docker as a multi-user platform, exposes an API, and works with local and cloud models alike, so you can deploy a private team knowledge assistant you control. It is MIT-licensed, so commercial use is straightforward.
Skip AnythingLLM if you only need a single capability, like a bare chat UI or a code-level RAG library; a focused tool is lighter. If you want raw building blocks rather than an all-in-one app, a framework like LlamaIndex gives more control.
Frequently Asked Questions
What is AnythingLLM?
AnythingLLM is an open-source, all-in-one AI application built by Mintplex Labs. It lets you chat with your own documents using retrieval-augmented generation, build no-code AI agents, and run everything privately on your device or your own server. It works with local models through Ollama and LM Studio as well as cloud models like OpenAI and Anthropic.
Is AnythingLLM free and open source?
Yes. AnythingLLM is released under the MIT license and is free and open source as of 2026. The desktop app is free to download, and you can self-host the multi-user version at no licensing cost. Mintplex Labs also offers paid hosted and enterprise options, but the core app is free.
Can AnythingLLM run offline with local models?
Yes. As of 2026, AnythingLLM is privacy-first and can run completely offline using local model runtimes like Ollama, LM Studio, and LocalAI. Your documents, embeddings, and chats stay on your machine. You can also connect cloud models such as OpenAI, Anthropic, and Gemini when you prefer, and switch between local and cloud per workspace.
What can I build with AnythingLLM?
AnythingLLM is used to build private document chatbots, internal knowledge assistants, and no-code AI agents that browse the web or run tools. You create workspaces, upload PDFs, sites, and notes, and it handles embedding, retrieval, and chat. Teams self-host it as a multi-user assistant, while individuals use the one-click desktop app.
How is AnythingLLM different from Open WebUI?
Both are open-source, self-hostable AI chat apps. Open WebUI focuses on a polished chat interface for models, especially local ones. AnythingLLM bundles document RAG, no-code agents, workspaces, and a built-in vector database into an all-in-one product with a desktop app. Choose Open WebUI for model chat; choose AnythingLLM for a private document-and-agent workspace.
How do I install AnythingLLM?
Visit the GitHub repository at https://github.com/Mintplex-Labs/anything-llm for installation instructions.
What license does AnythingLLM use?
AnythingLLM uses the MIT license.
What are alternatives to AnythingLLM?
Explore related tools and alternatives on My AI Guide.
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MIT licensed: free to use in any project, no strings attached. 60,846 developers have starred this, meaning the community has reviewed and trusted it.
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