AnythingLLM

What is AnythingLLM?

AnythingLLM is an open-source application from Mintplex Labs for chatting with your own documents, running AI agents and giving a team a private multi-user workspace. You can use it as a free desktop app on Windows and macOS, a mobile app for Android, a self-hosted Docker container, or a hosted cloud instance. It works with more than 40 model providers, including OpenAI, Anthropic, Gemini, Mistral and Groq, and with models you run yourself through Ollama, LM Studio or vLLM, so documents can stay on your own hardware. Teams get tenant isolation, admin controls, permissions and white-labeling, plus an OpenAI-compatible developer API. Self-hosting with Docker is free. Hosted Cloud plans are priced per instance rather than per seat: Basic is $50 monthly, Pro is $99 monthly with a 72-hour support SLA, and Enterprise is by quote. An optional desktop Pro license lifts the daily limits on system-wide Magic features.

Use cases

• Chat with your documents using RAG
• Run a private AI workspace for a team
• Self-host an assistant with local models
• Build no-code agents with Agent Flows
• Embed a chat widget on your website
• Dictate and autocomplete text system-wide
• Compare cost with per-seat ChatGPT plans

Who it's for

• Developers
• Small teams
• IT administrators
• Privacy-minded professionals
• Enterprises

Why use AnythingLLM

• Self-hosting is free, so you can run the full app on your own infrastructure with no license fee.
• Pricing per instance rather than per seat can be cheaper for larger teams than per-user chat subscriptions.
• You can switch between hosted and local models without moving your team to a new tool.
• Documents and chats can stay on your own machine or network when you use local models.
• Admin controls and white-labeling suit agencies and companies that need a branded internal assistant.

AnythingLLM features

• Document chat with citations over your own files
• AI agents and MCP tool support
• Agent Flows for no-code agent building
• More than 40 model providers plus local models
• Multi-user workspaces with isolated tenants
• Fine-grained admin controls and permissions
• White-labeling of the interface
• Embeddable chat widget
• Workspace API and OpenAI-compatible developer API
• Magic Echo, Magic Beacon and Magic Tab desktop features
• Meeting Assistant and Background Jobs
• Docker self-hosting, including air-gapped setups

AnythingLLM integrations

• OpenAI
• Anthropic
• Gemini
• Azure OpenAI
• AWS Bedrock
• Mistral
• Groq
• Ollama
• LM Studio
• vLLM
• OpenRouter

How to get started with AnythingLLM

1. Download the desktop app, pull the Docker image, or start a Cloud instance.
2. Choose a model provider or point the app at a local model server, and add your API key if needed.
3. Upload documents into a workspace and ask questions with RAG and citations.
4. Add agents, Agent Flows or MCP tools for multi-step tasks.
5. Invite users and set permissions, then optionally white-label the interface.

AnythingLLM limitations

• Cloud plans need your own LLM API key
• Desktop Magic features have daily free limits unless you buy Pro
• Pro features on desktop require version 1.15.0 or later
• Enterprise pricing is by quote

AnythingLLM pricing

AnythingLLM is open source, so you can use and self-host it for free. Paid plans start at $50 per month, according to the official pricing page on 24 Oct 2026.

AnythingLLM plans

• Self-hosted

  Free

  Docker or desktop app

  • Full app on your own infrastructure
  • Bring your own models
  • MIT licensed core

• Basic

  $50/monthly

  • Private instance
  • Custom subdomain
  • RAG and agents out of the box
  • Bring your own LLM API key

• Pro

  $99/monthly

  • Private instance
  • Priority resources
  • Suited to large teams
  • 72-hour support SLA

• Enterprise

  Custom

  • On-premise deployment
  • Custom SLA
  • Custom integrations
  • SSO, RBAC and more

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

AnythingLLM alternatives

The main AnythingLLM alternatives listed on Debuly are Open WebUI, LibreChat, Dify, PrivateGPT, LM Studio and Msty. The table compares pricing and platforms; order is A–Z.

1. 

   Dify

   Platform for building LLM apps, agents and RAG workflows on Dify Cloud or your own infrastructure, with a free Sandbox tier.

   Developer platformsAutomation and agentsChat assistants
   FreemiumVisit Dify (official site)
2. 

   LibreChat

   Free open-source AI chat platform that puts many model providers, agents, code execution and MCP tools in one self-hostable app.

   Chat assistantsDeveloper platformsAutomation and agents
   Open sourceVisit LibreChat (official site)
3. 

   LM Studio

   Desktop app for running open language models on your own computer, now with the Bionic agent, a local API and optional US-hosted cloud models.

   Chat assistantsDeveloper platformsCodingProductivity
   FreemiumVisit LM Studio (official site)
4. 

   Msty

   Privacy-first AI workspace for chatting with local and online models, with a model gateway, agents and knowledge stacks.

   Chat assistantsAutomation and agentsDeveloper platforms
   FreemiumVisit Msty (official site)
5. 

   Open WebUI

   Self-hosted AI chat platform for Ollama and OpenAI-compatible models with RAG, agents, tools, notes, channels and role-based access.

   Chat assistantsDeveloper platformsAutomation and agents
   Open sourceVisit Open WebUI (official site)
6. 

   PrivateGPT

   Open-source application API for private AI that adds files, retrieval, tools and MCP on top of a self-hosted local LLM server.

   Developer platformsChat assistantsAutomation and agents
   Open sourceVisit PrivateGPT (official site)

AnythingLLM FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from anythingllm.com · fetched 23 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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