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AnythingLLM

All-in-one desktop and Docker app for private LLM chat with your documents.

Open SourceSelf HostedOffline Capable
0.0 (0)

About

AnythingLLM from Mintplex Labs is an all-in-one application for private chat over your own documents, running locally by default with minimal setup. It ingests PDFs, DOCX, TXT, and other formats into workspaces, then answers questions against them using either local models through Ollama or LM Studio or cloud APIs from more than 40 providers including OpenAI, Anthropic, Google Gemini, Mistral, Groq, and AWS Bedrock. LanceDB is the default vector database, with support for Pinecone, Chroma, Weaviate, Qdrant, Milvus, PGVector, and others. Beyond retrieval chat it offers multi-user workspaces with access controls, a no-code AI agent builder with web browsing, scheduled tasks, embeddable chat widgets, and a developer API for custom integrations. It ships as a desktop app for Windows, macOS, and Linux plus a Docker image for server deployment on platforms like AWS, GCP, and Railway, and is open source under the MIT license.

Should you use AnythingLLM?

Pick it when

Pick AnythingLLM when one person wants private document chat from a desktop app on a laptop, or a small team needs workspaces with user roles on the Docker build, choosing local or cloud models per workspace.

Look elsewhere when

Skip it if retrieval quality on messy PDFs is the hard part: RAGFlow's template chunking and chunk-level citations go deeper. For company-wide search across many internal sources, Onyx ships 50+ indexing connectors.

Alternatives to AnythingLLM

  • Open WebUI

    General ChatGPT-style interface with document RAG as one feature and tight Ollama integration, better when chat is the main job and documents come second.

  • RAGFlow

    Deeper document parsing with template chunking and visual chunk previews, but it deploys as a self-hosted Docker server with no desktop app.

  • Onyx

    Built for organization-wide knowledge with 50+ connectors and deep research, but the full stack adds Redis, MinIO, and background workers to operate.

  • Khoj

    Personal second brain with Obsidian, Emacs, and phone clients plus scheduled automations, but AGPL-3.0 where AnythingLLM is MIT.

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