🧠AI & Machine Learning · Communication & Collaboration · Business & Productivity

AnythingLLM

AnythingLLM is an all-in-one AI application that enables users to chat with documents, deploy AI agents, and leverage multiple LLMs locally and offline. It supports custom models, various document types (PDFs, Word, CSV, codebases), and offers a simple interface with privacy by default. The desktop app is free and open source, while cloud and self-hosted versions provide multi-user access for teams.

AnythingLLM
AI PlatformConversational AIProductivity Tools

Key facts

What is AnythingLLM?

Leverage powerful AI tooling with no setup, supporting any LLM and document type with full privacy and local control.

Who is AnythingLLM best for?

Individuals, developers, startups, and large teams

What are its main limitations?

  • Cloud plans require paid subscriptions for team use
  • Self-hosting may require technical knowledge (Docker)
  • Limited to LLM integrations provided out of the box

Limitations are based on product materials or editorial synthesis; confirm on the official site.

Key features

  • Supports custom LLMs locally or enterprise models (OpenAI, Azure, AWS)
  • Works with multiple document types: PDFs, Word, CSV, codebases, online sources
  • Multi-modal capability (text, images, audio)
  • Built-in developer API for custom integrations
  • Open source and MIT licensed
  • Local by default with full privacy; nothing shared unless allowed
  • One-click LLM installation on desktop
  • Multi-user support with admin controls and whitelabeling (cloud/self-hosted)

Use cases

  • Chat with documents (PDFs, Word, etc.) using AI
  • Deploy AI agents for automation tasks
  • Custom development via AnythingLLM API
  • Team collaboration on AI tools with full isolation
  • Run AI fully offline and locally on any operating system

Pricing

Desktop

$0

  • · Free
  • · Local
  • · Open source
  • · No account needed

Basic Cloud

$50/mo

  • · Private instance
  • · Custom subdomain
  • · RAG & agents
  • · Bring your own LLM API key

Pro Cloud

$99/mo

  • · Private instance
  • · RAG & agents
  • · 72-hour support SLA
  • · Great for large teams

Enterprise

Custom

  • · On-premise installation
  • · Custom support SLA
  • · Custom domain
  • · Custom integration support

Free desktop app; cloud plans start at $50/month with Basic and Pro tiers, Enterprise pricing is custom.

Pros

  • +Free and open source desktop app with no account required
  • +Privacy-focused: everything runs locally by default
  • +Supports a wide range of LLMs and document types
  • +Easy one-click setup on desktop; no code needed

Cons

  • Cloud plans require paid subscriptions for team use
  • Self-hosting may require technical knowledge (Docker)
  • Limited to LLM integrations provided out of the box

Positioning

  • Core value: Leverage powerful AI tooling with no setup, supporting any LLM and document type with full privacy and local control.
  • Ideal for: Individuals, developers, startups, and large teams
  • Product type: Desktop app, self-hosted, cloud SaaS

Frequently asked questions

How much is AnythingLLM?

The desktop app is free and open source. Cloud and self-hosted plans start at $50/month for Basic, $99/month for Pro, and Enterprise pricing is available on request.

How can I use AnythingLLM?

You can download the desktop app for local use, run it via Docker for free, or use the cloud-hosted version for team access.

Where are my documents saved?

In the desktop app, all documents, chats, and models are stored locally on your machine by default. Cloud versions store data on the private instance.

Why use AnythingLLM over ChatGPT with a PDF plugin?

AnythingLLM offers full privacy with local operation, supports a wide range of LLMs and document types, and provides customizable agents, all in a single open-source application.

Can I use my own LLM models?

Yes, you can run any local LLM with the built-in provider or connect to enterprise models from OpenAI, Azure, AWS, and more.

Is AnythingLLM open source?

Yes, AnythingLLM is open source and MIT licensed, available on GitHub.

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