AnythingLLM

AnythingLLM turns your own documents into a private, searchable chat workspace, whether that is a desktop app running fully offline or a self-hosted Docker deployment for a team. Point it at PDFs, spreadsheets, or a folder of notes, connect any local model through Ollama or a cloud provider like OpenAI or Anthropic, and start asking questions grounded entirely in your own material. The desktop app stores everything locally, which fits anyone who wants document-aware AI without sending files to a third party. The self-hosted Docker version adds multi-user workspaces so a team can share the same knowledge base with individual chat histories. Built-in AI agents can browse the web, scrape a page, or run a saved workflow inside a conversation instead of requiring separate tooling. Because the core app and the Docker deployment are both MIT licensed, most individuals and small teams never need to pay anything beyond their own model API costs. A managed AnythingLLM Cloud plan exists for teams that would rather skip hosting altogether.