AnythingLLM

Overview

AnythingLLM is an open-source, on-device AI assistant built to bring productivity-focused artificial intelligence directly to your desktop. It runs entirely on your computer, with no accounts, no API keys, and no token limits, giving you complete ownership of your intelligence and data. The application is available as a desktop app for macOS, Windows, and Linux, alongside cloud and mobile components for team collaboration and on-the-go access. The desktop client ships as a single dependency-free file, eliminating complex setup while keeping every local processing task sealed within your device. Whether you are chatting with documents, running research workflows, or summarizing meetings, AnythingLLM ensures a private, fast, and independent AI experience.

At the core of AnythingLLM is a capable AI agent that combines several advanced capabilities. Its Document Knowledge feature transforms every document you import into part of the agent's searchable knowledge base without data leaving your device. Web scraping and search extend the agent's reach to live online information. Dynamic model selection lets you choose a preferred model or automatically recommends the best one based on your hardware specifications. Background jobs automate recurring tasks, and custom agent skills let you build tailored tools through a user-friendly custom tool builder. The Meeting Assistant automatically transcribes and summarizes meetings entirely on your computer, producing action items, key decisions, and full transcripts without requiring any bot to join your call or any cloud processing. Magic Features round out the experience with intelligent dictation, context-aware echo for highlighted text, and an autocomplete engine that understands the context of your current work.

AnythingLLM is built in the open and licensed under the MIT license, with more than 64k GitHub stars, 200+ contributors, and 5 million Docker pulls. It is trusted by millions of users and is explicitly licensed for organizational use, meaning teams can self-host a multi-user deployment on their own servers. This makes it a compelling choice for enterprises and institutions that need to keep AI workloads inside their own infrastructure, avoid per-token cloud costs, or reduce reliance on external APIs. The open-source ecosystem also enables audits, custom extensions, and integration into existing internal toolchains.

Getting started takes only a few clicks: download the app, pick a model or let AnythingLLM auto-recommend one, and you are ready to chat with docs, do research, and build workflows — all running locally. As your needs scale, the custom tool builder and developer API let you fit AnythingLLM to exact requirements without extra bloat, delivering a flexible AI assistant that grows with your organization while maintaining the privacy and control at the heart of its design.

Core capabilities

Document Knowledge

Every document you import becomes part of your agent's knowledge base with no data leaving your device.

Web Scraping & Search

Enables the AI agent to extract web content and perform live searches from the desktop environment.

Dynamic Model Selection

Automatically selects and recommends the most suitable model based on your hardware specifications and preferences.

Background Jobs

Automates recurring tasks and scheduled workflows to streamline repetitive operations.

Custom Agent Skills

Extends the AI agent with custom tools and API integrations to match your unique requirements.

Meeting Assistant

Transcribes and summarizes meetings entirely on-device, generating action items, key decisions, and full transcripts without any bot joining your call.

Magic Dictation

An intelligent dictation experience that turns speech into refined text in real time and understands what you are looking at for precise answers.

Echo & Autocomplete

Enhanced text highlighting with deep context and an autocomplete engine that understands your current work.

Open Source & Self-Hosting

MIT-licensed, fully open-source, and supports self-hosted multi-user deployment on your own servers.

Use cases

Local document Q&A and knowledge management with strict data privacy

Automatic meeting transcription, summarization, and action-item extraction

Automating recurring background tasks and scheduled workflows

On-device dictation and context-aware writing assistance

Web research and content extraction without leaving the desktop environment

Building custom AI agents with tailored tools and API integrations

Self-hosting a private AI assistant for secure team collaboration