AnythingLLM

AnythingLLM is an open-source app for chatting with your documents privately and securely. It is MIT-licensed and made by Mintplex Labs for privacy-minded users. You upload PDFs, Word files, or web pages and ask questions about them in plain language. The app works with many AI models, including local ones that run fully on your machine with no internet. Your data stays private because you control where it runs. It has desktop apps for Mac, Windows, and Linux, plus a Docker version for teams who need multi-user access.

Key Features

1. Document Chat

Upload PDFs, docs, and web pages. The app reads them and answers your questions about the content.

2. Many AI Models

Connect to many providers like OpenAI, Anthropic, or Ollama. You can also run models fully on your device.

3. Workspaces

Keep projects separate with isolated workspaces. Each workspace has its own documents and chat history.

4. No-Code Agents

Build AI agents without coding. Agents can browse the web, search documents, and do tasks for you.

5. Developer API

Use the API to add AnythingLLM to your own apps. Build custom tools with simple calls.

Frequently Asked Questions (FAQ)

What is AnythingLLM used for?

It lets you chat with your documents using AI. Upload files, ask questions, and get answers based on your content.

Can I run it without internet?

Yes. The desktop app can run fully on your machine with local models. No data leaves your device.

Which AI models work with it?

It supports many providers including OpenAI, Anthropic, Gemini, and local options like Ollama and LM Studio.

What is the Docker version for?

Docker adds multi-user support with roles. Teams can share workspaces while keeping data private.

Is my data private?

Yes, when you run it locally. Documents stay on your machine. Cloud models only see what you send them.

Conclusion

AnythingLLM gives you private AI for your documents without cloud lock-in. The open-source code means you can inspect and trust it fully. Local models keep your data on your device. Workspaces organize different projects cleanly and separately. It fits people who want AI help without sending sensitive files to the cloud. The setup is simple for beginners to start.