AnythingLLM
All-in-one desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
High commit volume, frequent releases and growing activity.
Commit activity more than 75% of tracked projects; popularity more than 98%. How this is calculated.
Commits, last 11 months
| Stars | 67k |
|---|---|
| Latest release | v1.16.2 · 22 Sept 2026 |
| Repo updated | 26 Sept 2026 |
| Licence | MIT |
| Built with | Nodejs, Docker |
Is AnythingLLM actively maintained?
Over the last 11 months the project absorbed 776 commits, of which 343 arrived in the most recent quarter — roughly 114 commits a month.
Activity is accelerating: the last quarter carried 67% more commits than the one before it.
The most recent tagged release, v1.16.2, shipped within the last month — a current, installable version exists today.
AnythingLLM ranks #7 of 14 in Generative Artificial Intelligence (GenAI), placing it mid-table for maintenance activity.
What AnythingLLM actually does
AnythingLLM is an all-in-one desktop and containerised application designed for interacting with language models. It includes built-in retrieval-augmented generation, automated agents, and support for the Model Context Protocol.
Best fit: It suits users wanting a self-hosted workspace to query private documents and run local AI workflows without relying on external cloud services.
Worth knowing: Running local embedding models and large language models requires significant hardware resources, particularly a capable GPU.
Deployment notes
You will typically deploy this via Docker, ensuring persistent storage volumes are mounted for your document workspace data and vector database.
Links
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