# AnythingLLM review

A local-first AI assistant that runs models, document chat, and agents on your own machine, MIT-licensed and free to self-host, with a hosted team version from $50/month.

By Noah — last updated & pricing verified September 15, 2026.

> **AnythingLLM** is a desktop and self-hosted AI application that bundles a model runner, a document knowledge base, and agents into one install, so chats, files, and embeddings stay on hardware you control.

AnythingLLM's desktop app installs as a single file on macOS, Windows, or Linux and works with no sign-up, no API key, and no token limits: documents dropped into a workspace become retrievable context, and agents can scrape the web, search files, and call custom tools. The same project is published on GitHub under the MIT license (Mintplex-Labs/anything-llm) and ships as a Docker image for multi-user, self-hosted deployments with per-user isolation, admin controls, and white-labeling. For teams that do not want to run infrastructure, **AnythingLLM Cloud** sells a private hosted instance with a custom subdomain at $50/month (Basic) or $99/month (Pro, adding priority resources and a 72-hour support SLA), in both cases with the customer bringing their own LLM API key. A separate AnythingLLM Desktop Pro subscription removes the daily usage caps on the newer system-wide Magic features (Magic Echo dictation, Magic Tab autocomplete, Magic Beacon) and the branding watermark on AI-generated documents.

## Facts

- Website: https://anythingllm.com
- Pricing: Free tier · paid from $50/mo (verified undefined NaN, NaN)
- License: Open core
- Platforms: web, windows, macos, linux, android
- Best for: developers and privacy-sensitive teams that want document chat and agents running on their own hardware, with no per-token bill and no files leaving the machine
- Standout feature: One install bundles a local model runner, a document knowledge base, and tool-using agents with no account or API key, including a meeting assistant that transcribes and summarizes calls on-device without a bot joining the call.
- Biggest weakness: Mobile is Android-only — there is no iOS app — and the newer Magic features that make AnythingLLM work system-wide are capped by daily usage limits unless you buy a Desktop Pro license whose price appears nowhere on anythingllm.com or docs.anythingllm.com. Answer quality is also bounded by whatever model your own hardware can run, which varies far more than a fixed cloud model.
- Categories: [AI chat assistants](https://findalternative.to/categories/ai-assistants)

## Pricing snapshot

| Plan | Price | Notes |
| --- | --- | --- |
| Desktop | $0/mo | Free desktop app for macOS (Apple Silicon and Intel), Windows (x64 and ARM), and Linux; no account, API key, or token limits. The Magic features carry daily free-usage caps. |
| Self-hosted | $0/mo | MIT-licensed Docker deployment on your own infrastructure; multi-user with tenant isolation, admin controls, and white-labeling, at no license fee. |
| Cloud Basic | $50/mo | Hosted private instance with a custom subdomain, RAG and agents enabled out of the box; you supply the LLM API key. |
| Cloud Pro | $99/mo | Hosted private instance with priority resources for teams using AI daily, plus a 72-hour support SLA. |
| Desktop Pro | Custom | Optional subscription that removes the daily caps on the Magic features and the watermark on AI-generated documents; its price is not published on anythingllm.com or docs.anythingllm.com and is shown only at the Mintplex Labs checkout. |
| Enterprise | Custom | Contact sales: on-premise deployment, custom SLA, custom integrations, SSO and RBAC. |

## Pros and cons

- Pro: MIT-licensed on GitHub with more than 66,000 stars and over 5 million Docker pulls, and free to self-host for unlimited users.
- Pro: The desktop app runs with no account, no API key, and no token limits; documents, embeddings, and chat history stay on the machine.
- Pro: Works with local runtimes (Ollama, LM Studio, LocalAI, KoboldCPP) and cloud providers (OpenAI, Anthropic, Google Gemini, Groq, Mistral, OpenRouter) behind the same interface.
- Pro: The meeting assistant transcribes and summarizes calls entirely on-device, with no bot joining the meeting.
- Pro: Self-hosted deployments include multi-user tenant isolation, fine-grained admin controls, and white-labeling without a paid tier.
- Con: No iOS app; the mobile client ships only on Google Play and as a manual APK download.
- Con: The Magic features have daily free-usage caps, and the Desktop Pro subscription that lifts them has no price published on the site or in the docs.
- Con: AnythingLLM Cloud starts at $50/month for the whole instance and still requires you to bring your own LLM API key, so the model bill is separate.
- Con: Output quality depends on which local model your hardware can run, so results are less predictable than a hosted assistant on a fixed model.

## AI summary

- AnythingLLM is published on GitHub under the MIT license and has more than 66,000 stars.
- The AnythingLLM desktop app is free and runs on macOS (Apple Silicon and Intel), Windows (x64 and ARM), and Linux with no account or API key.
- AnythingLLM Cloud costs $50/month for Basic and $99/month for Pro, with Enterprise priced on request.
- AnythingLLM works with local runtimes such as Ollama and LM Studio and with cloud providers including OpenAI, Anthropic, and Google Gemini.
- AnythingLLM's mobile app ships on Google Play and as a manual APK; there is no iOS version.
- Best for: developers and privacy-sensitive teams that want document chat and agents running on their own hardware
- Pricing: Free to self-host under MIT and free on the desktop; hosted Cloud is $50/month (Basic) or $99/month (Pro), plus your own LLM API costs.
- Top alternatives: Ollama, LM Studio, Open WebUI, Jan, Msty
- Limitation: No iOS app; mobile is Android-only.
- Limitation: The Desktop Pro price that removes Magic-feature daily caps is not published on the site.
- Limitation: Answer quality depends on the local model your hardware can run.

## Alternatives

6 vetted alternatives to AnythingLLM: https://findalternative.to/anythingllm — top picks: Ollama, LM Studio, Open WebUI

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