AnythingLLM is the self-hosted ChatGPT alternative built for teams and individuals who want AI chat on their own terms, any LLM, any document format, no data leaving their machine unless they choose.
The Problem
ChatGPT and other cloud AI chat tools process your documents on remote servers. Uploading a confidential contract, internal wiki, or proprietary codebase means that content is sent to OpenAI's infrastructure. For companies with compliance requirements or anyone handling sensitive data, that architecture is a non-starter.
How AnythingLLM Solves It
AnythingLLM keeps everything local by default. Connect any LLM, Ollama, LM Studio, GPT-4, Claude, Gemini, or any OpenAI-compatible API, to a workspace that ingests PDFs, Word docs, text files, websites, and YouTube transcripts. Each workspace is an isolated memory scope, so your sales team's context doesn't bleed into engineering's.
Key Features
- Multi-user workspaces with per-workspace document context and LLM settings
- Agent mode: browse the web, run code, and query databases from within chat
- Embeddable chat widget for adding AI to any website
- Supports Ollama, LM Studio, LocalAI, OpenAI, Anthropic, Gemini, and more
- Vector storage via Chroma, Pinecone, Milvus, or built-in LanceDB
Self-Hosting
Run docker pull mintplexlabs/anythingllm and start the container. The web UI walks through connecting an LLM and uploading your first documents in under ten minutes. A desktop application installer is also available for single-user local use without Docker.
License
MIT. Free to use, modify, and distribute for personal or commercial projects without restriction.
Who It's For
AnythingLLM is best for teams who need a private document-chat platform for internal knowledge bases, compliance-sensitive industries that cannot send data to cloud AI providers, and developers building internal AI tooling on a flexible multi-LLM foundation.
Compared to ChatGPT
Unlike ChatGPT, AnythingLLM runs entirely on your own infrastructure, no conversation data leaves your machine, you choose which LLM handles your queries, and there are no per-message costs or usage limits baked into the platform itself.
