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AnythingLLM

AnythingLLM is a free, private AI assistant that runs entirely on your own device. It lets you chat with documents, transcribe meetings, and build AI agents locally with no accounts, API keys, or token limits.

AnythingLLM screenshot

Description

AnythingLLM is an on-device AI assistant that runs entirely on your own computer, keeping your data private with no accounts, API keys, or token limits. It is designed for productivity and works out of the box, with documents becoming part of your agent's knowledge base without any data leaving your device.

The app includes a local meeting assistant that transcribes and summarizes calls on your machine, producing action items, key decisions, and full transcripts without a bot joining the meeting or any cloud processing. Magic Features add on-device help at your cursor, refining what you type in real time and answering questions based on what you are looking at.

Getting started takes a few clicks: download a single file with no dependencies for macOS, Windows, or Linux, pick a model or let the app recommend one for your hardware, and start chatting with documents, doing research, or building workflows locally. A custom tool builder and developer API let you extend it to your needs.

AnythingLLM is MIT-licensed and fully open source. You can use the desktop app or self-host a multi-user deployment on your own servers, keeping ownership of both your intelligence and your data.

AnythingLLM's Core Features

  • Runs entirely on-device with no accounts, API keys, or token limits

  • Chat with your documents in a local knowledge base

  • Local meeting assistant that transcribes and summarizes calls

  • Auto-generated summaries and action items

  • Magic Features for real-time help at your cursor

  • Single-file install for macOS, Windows, and Linux

  • Custom tool builder and developer API

  • MIT-licensed, open source, with self-hosted multi-user option

How to use AnythingLLM?

  1. Download the app: Get the single-file installer for macOS, Windows, or Linux.

  2. Pick a model: Choose a model or let AnythingLLM recommend one for your hardware.

  3. Add documents: Bring in files to build your local knowledge base.

  4. Chat and work: Chat with docs, do research, and build workflows locally.

  5. Extend it: Use the custom tool builder and developer API to fit your needs.

AnythingLLM's Use Cases

  • Chat with documents
  • Meeting notes
  • Private research
  • Team deployment

FAQ from AnythingLLM

AnythingLLM Reviews

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