AnythingLLM

AnythingLLM

Open Source

Own your intelligence.

APIs & Infrastructure
AI Chat Interfaces

Published 27 September 2026

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Scores

Popularity4/5

64K+ GitHub stars make it a genuine, well-established peer to Open WebUI and LibreChat, though smaller than Open WebUI's community by a wide margin.

Learning Curve4/5

A native desktop app for Mac/Windows/Linux gets a solo user running in minutes with zero Docker or terminal knowledge required; the self-hosted Docker path for teams takes more setup, especially configuring per-workspace vector DBs.

Flexibility5/5

Per-workspace document/vector-DB/retrieval configuration, 25+ LLM providers, and 7 vector database backends make it the most configurable RAG-first chat UI in its category.

Performance3/5

Suitable for solo and small-team RAG workloads, but multi-user administration and scaling are less proven at organizational scale than Open WebUI's more mature RBAC.

Portability5/5

MIT licensed with no branding requirements or user thresholds, genuinely self-hostable via Docker or desktop app, and portable across LLM providers and vector databases.

About AnythingLLM

AnythingLLM is a private AI workspace from Mintplex Labs that was designed around retrieval-augmented generation (RAG) from the start, rather than adding document chat to a chat UI later. Its organizing unit is the workspace: each one gets its own ingested documents, vector database settings, and retrieval parameters, so a team can keep several isolated knowledge bases (one per project or client, say) in a single deployment without documents bleeding across them.

Backend choice is broad. It supports 25+ LLM providers, including OpenAI, Anthropic, Ollama, LocalAI, DeepSeek, Mistral, and Groq, and several vector databases: LanceDB by default, or Pinecone, Qdrant, Weaviate, Chroma, PGVector, and Astra DB. Beyond chat, a built-in agent framework handles web browsing and tool use, with a no-code agent builder, MCP compatibility, and automatic and user-managed memory.

AnythingLLM runs three ways: as a free desktop app for Mac, Windows, and Linux that needs no Docker or terminal, as a self-hosted Docker deployment for multi-user teams (with one-click templates for AWS, GCP, DigitalOcean, Render, and Railway), or as a hosted cloud instance managed by Mintplex Labs. The open-source edition is MIT licensed with no feature gating.

Key Features

  • Per-workspace documents, vector DB settings, and retrieval parameters
  • 25+ LLM providers (OpenAI, Anthropic, Ollama, LocalAI, DeepSeek, Mistral, Groq, and more)
  • Vector databases: LanceDB (default), Pinecone, Qdrant, Weaviate, Chroma, PGVector, Astra DB
  • Built-in agent framework with web browsing, no-code agent builder, and MCP compatibility
  • Native desktop apps for Mac, Windows, and Linux, with no Docker required
  • Automatic and user-managed memory
  • MIT licensed and free to self-host with no feature gating

Pros

  • RAG-first design with real per-workspace isolation, where many chat UIs treat document Q&A as an add-on
  • Desktop app is the easiest way in the self-hosted chat UI field to start without Docker or a terminal
  • MIT licensed with no feature gating, branding requirement, or user-count threshold, unlike Open WebUI
  • Widest vector database choice among self-hosted chat UIs, plus 25+ LLM providers
  • Agent framework and MCP support go beyond chat into task automation

Cons

  • Multi-user RBAC and team administration are less mature than Open WebUI's
  • Smaller community and fewer third-party plugins than Open WebUI
  • Many backend options add configuration surface for someone who just wants a simple default
  • Hosted cloud pricing is not published

AnythingLLM Pricing

Open Source
Self-Hosted (Free)Free
  • · MIT licensed, free as a desktop app or a self-hosted Docker deployment
  • · Full feature set with no feature gating or branding requirement
AnythingLLM CloudContact sales
  • · Hosted instance managed by Mintplex Labs
  • · Same core features as self-hosted
  • · Pricing not published

Tools Related to AnythingLLM

Works well with AnythingLLM(5)

Qdrant

Qdrant

An open-source vector database written in Rust, free to self-host under Apache 2.0, with a managed Qdrant Cloud that includes a free-forever cluster and hybrid and private deployment options.

Freemium
Databases
3/5

Qdrant is one of AnythingLLM's documented supported vector database backends for its per-workspace RAG configuration.

Chroma

Chroma

Open-source, Apache 2.0 embedding database with a deliberately minimal 4-function API, the go-to choice for prototyping RAG apps before optionally scaling to Chroma Cloud's serverless offering.

Freemium
Databases
3/5

Chroma is one of AnythingLLM's documented supported vector database backends for its per-workspace RAG configuration.

Pinecone

Pinecone

A fully managed, serverless vector database that stores billions of vectors with no servers to provision, plus hosted embedding and reranking (Pinecone Inference) and a RAG toolkit (Pinecone Assistant).

Freemium
Databases
3/5

Pinecone is one of AnythingLLM's documented supported vector database backends for its per-workspace RAG configuration.

Ollama

Ollama

The most widely used way to run open-weight LLMs locally — one command downloads and serves models like Llama, Qwen, DeepSeek, GLM, and MiniMax through an OpenAI-compatible API, with an optional paid Ollama Cloud tier for larger models than local hardware can handle.

Freemium
APIs & Infrastructure
4/5

Ollama is one of AnythingLLM's documented supported LLM providers, a common local-inference backend pairing.

Groq

Groq

Fast LLM inference on Groq's own LPU hardware: unlike aggregators such as OpenRouter, Groq runs the compute itself, with low time-to-first-token and per-token pricing among the lowest of the major providers.

Usage Based
APIs & Infrastructure
3/5

AnythingLLM lists Groq as a built-in LLM provider: add a Groq API key in its LLM settings to run workspace chats and agents on Groq-hosted models.

Alternatives to AnythingLLM(2)

Open WebUI

Open WebUI

The most widely deployed self-hosted chat UI (149K+ GitHub stars), a feature-rich frontend for Ollama or any OpenAI-compatible API with RAG, RBAC, and enterprise auth — doesn't serve inference itself, just the interface to talk to whatever does.

Open Source
APIs & Infrastructure
4/5

Both are self-hosted chat UI frontends. AnythingLLM is RAG-first with per-workspace document/vector-DB isolation and a desktop app; Open WebUI has the most mature multi-user/admin implementation and the largest community.

LibreChat

LibreChat

Self-hosted, MIT-licensed chat UI with the broadest multi-provider support of the self-hosted field, plus a sandboxed code interpreter, agents with MCP, and per-user token spend tracking.

Open Source
APIs & Infrastructure
4/5

Both are self-hosted chat UI frontends. AnythingLLM is RAG-first with per-workspace document/vector-DB isolation; LibreChat has the broadest multi-provider support and a sandboxed multi-language code interpreter.

Learning Resources

No resources yet — check back soon.

Links

Website Docs GitHub

Vendor

ML

Mintplex Labs

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Tags

Open SourceSelf-hostableMachine LearningWeb

Details

Maintained
Yes