AnythingLLM is an open-source, all-in-one AI application designed for private, local, and cloud-based interactions with large language models (LLMs). Developed by Mintplex Labs, it functions as an orchestration platform that allows users to chat with documents, build AI agents, and manage workflows without requiring coding expertise or complex infrastructure setup.
The platform supports Retrieval-Augmented Generation (RAG), enabling users to ingest private data from sources like PDFs, codebases, and websites into isolated “workspaces” for context-aware querying. It acts as a bridge to various LLM providers, including local engines like Ollama and LM Studio, as well as cloud services such as OpenAI and Anthropic.
AnythingLLM is available in two primary formats:
- Desktop App: A one-click install for macOS, Windows, and Linux that bundles an LLM engine and vector database for single-user, offline use.
- Docker/Cloud: A self-hosted solution for teams that supports multi-user access, role-based permissions, and embeddable chat widgets.
It is distinct from inference engines like LM Studio; while LM Studio manages model execution, AnythingLLM provides the user interface, document processing, and agent logic layer on top of those models.