explaingit

mintplex-labs/anything-llm

🔥 Hot60,244JavaScriptAudience · pm founderComplexity · 3/5ActiveLicenseSetup · hard

TLDR

A self-hosted AI assistant that lets you chat with your documents using any AI model, keeping your data private and under your control.

Mindmap

mindmap
  root((AnythingLLM))
    What it does
      Chat with documents
      Connect any AI model
      Run automated tasks
      Keep data private
    How it works
      Upload documents
      Index and search
      Retrieval-augmented generation
      Multi-step agents
    Deployment options
      Docker containers
      Desktop app
      Local or cloud
      Embeddable widget
    Tech stack
      JavaScript frontend
      Node.js backend
      Docker support
      Developer API
    Use cases
      Business document Q&A
      Internal knowledge base
      Customer support chatbot
      Automated workflows
    Audience
      Teams wanting privacy
      Non-technical users
      Developers
      Enterprises

Things people build with this

USE CASE 1

Build a private ChatGPT for your team to ask questions about internal documents and policies without sending data to third parties.

USE CASE 2

Create a customer support chatbot that answers questions based on your product documentation and knowledge base.

USE CASE 3

Set up an automated workflow agent that can browse the web, run code, and complete multi-step tasks on a schedule.

USE CASE 4

Embed a chat widget on your website so visitors can get instant answers from your company's documents.

Tech stack

JavaScriptNode.jsDockerReactOllamaOpenAIAnthropic

Getting it running

Difficulty · hard Time to first run · 1day+

Requires Docker, local LLM setup (Ollama) or API keys, database initialization, and multiple service coordination.

MIT license allows free use for any purpose, including commercial, as long as you include the original copyright notice.

In plain English

AnythingLLM is an all-in-one AI application that lets you build your own private ChatGPT-style assistant that can chat with your documents, run automated tasks, and connect to dozens of different AI models, all without sharing your data with a third party. The problem it addresses is that most AI tools are cloud-only, require technical setup, and don't let you control which AI model runs underneath. AnythingLLM gives you a polished, user-friendly interface while keeping everything configurable and optionally entirely local on your own machine. The way it works is you upload documents in formats like PDF, Word, or plain text into workspaces, and the app indexes them so the AI can search through them when answering your questions, a technique called retrieval-augmented generation (RAG). You can connect it to virtually any AI provider, including OpenAI, Anthropic, Google Gemini, Mistral, Ollama for local models, LM Studio, Groq, and many more. The app also supports AI agents that can browse the web, execute code, and perform multi-step tasks. Multi-user support with permission controls is available through the Docker version. For businesses, there is an embeddable chat widget you can drop into any website. The tech stack is JavaScript on the frontend, with a Node.js backend, and it runs comfortably as a Docker container or as a desktop application on Mac, Windows, and Linux. A full developer API lets you integrate AnythingLLM into other tools. You would choose AnythingLLM when you want a fully featured, privacy-conscious AI assistant for your organization's documents without being locked into a single AI provider or a managed cloud service.

Copy-paste prompts

Prompt 1
How do I set up AnythingLLM with my own documents so my team can chat with them privately?
Prompt 2
Show me how to connect AnythingLLM to Ollama so I can run AI models entirely on my own machine without cloud costs.
Prompt 3
How do I create an AI agent in AnythingLLM that can browse the web and execute code to automate tasks?
Prompt 4
What's the easiest way to embed an AnythingLLM chat widget into my website so customers can ask questions?
Prompt 5
How do I set up multi-user access with permission controls using AnythingLLM's Docker version?
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Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.