AnythingLLM
Summary
An all-in-one private AI workspace: chat with your documents, run agents, and keep everything on your device.
Screenshots
Description
AnythingLLM packages a full private AI stack into one application — chat, document retrieval, agents, and model management — with no accounts or API keys required if you run it against local models.
Core ideas
- Workspaces. Documents are scoped to a workspace, so a project's context stays separate from everything else rather than pooling into one giant index.
- Bring any model. Local runtimes or cloud providers, switchable per workspace.
- Documents of any kind. PDFs, Office files, transcripts, web pages, and repositories are chunked and embedded locally.
- Agents. Built-in agent skills can browse, run code, and use MCP servers to reach external tools.
- Two deployment modes. A desktop app for individuals, and a Docker deployment with multi-user accounts and permissions for teams.
Where it fits
It is one of the easiest ways to get trustworthy document Q&A without handing files to a third party — useful for legal, medical, financial, and internal-knowledge work where the answer matters less than where the data went. Free and open source.
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