AnythingLLM

AnythingLLM is an open-source AI assistant that lets individuals and teams chat with their own documents using local or hosted language models. Developed by Mintplex Labs under the MIT license, it packages retrieval, agents and a chat interface into a desktop app that works without an account, plus a self-hosted server for multi-user setups. The difference from a plain chat front end is that document handling is the core of the product, not an add-on.

What is AnythingLLM used for?

The typical use is a private knowledge assistant: load contracts, research papers, manuals or notes into a workspace and ask questions with answers grounded in those files.

• Building workspaces of PDFs, docs and web pages that stay on your device
• Answering questions over those files with citations using local or cloud models
• Running agent skills for web search, scraping and custom tools
• Scheduling background jobs for recurring tasks
• Transcribing and summarizing meetings locally without a bot in the call
• Exposing everything through a developer API for internal apps

Who AnythingLLM is best for

AnythingLLM fits small businesses, legal and consulting teams, researchers and IT departments that want document chat without uploading files to a third-party assistant. Developers like it as a ready-made retrieval front end for their own models. Solo users who mainly want a general chatbot with web browsing, or teams that expect a fully managed enterprise search product with dozens of connectors, may prefer other tools.

AnythingLLM pricing

The desktop app is free to download and use, and the self-hosted Docker version is open source. Managed cloud hosting has two published plans as of October 2026: Basic at $50 per month for individuals or small teams, with a private instance, custom subdomain, built-in retrieval and agents, using your own LLM API key; and Pro at $99 per month with the same features plus a 72-hour support SLA. Enterprise pricing is by quote and adds on-premise deployment, custom SLAs and integrations, and SSO with role-based access.

Limitations to keep in mind

• Retrieval quality depends on your chosen model, embedding settings and how clean the source files are
• Local models on modest hardware give slower and weaker answers than frontier cloud models
• Managed cloud plans still require you to bring and pay for your own model API key
• Setting up a multi-user self-hosted instance takes some server knowledge

AnythingLLM vs alternatives

ChatGPT and Claude both offer project-style file uploads with stronger models, and they are the easier pick if you are comfortable sending documents to those vendors. Gemini Notebook is a free, polished option for studying a fixed set of sources. Glean is built for large companies that need enterprise search across many SaaS apps with permissions. AnythingLLM wins when you want document chat that runs locally or on your own servers, with open code and no per-seat fees.

Tips for getting started with AnythingLLM

Create a separate workspace for each project so retrieval stays focused. Start with a handful of clean, text-based PDFs before loading scanned files, which need OCR. If answers miss details, try a stronger model or adjust the number of retrieved snippets in workspace settings.

AnythingLLM FAQ

Is AnythingLLM free?

Yes. The AnythingLLM desktop app and self-hosted version are free and open source. Managed cloud hosting starts at $50 per month.

Can AnythingLLM run completely offline?

Yes. The desktop app can run local models and keep documents on your device, so it works without sending data to an outside service.

Does AnythingLLM have an API?

Yes. AnythingLLM includes a developer API so you can query workspaces and agents from your own applications.

What is the best alternative to AnythingLLM?

Gemini Notebook is a strong free option for studying documents in the cloud, while Glean suits large enterprises that need search across many workplace apps.