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AnythingLLM vs Onyx

A side-by-side comparison of AnythingLLM and Onyx, two Assistant tools, drawn from Ignaite's continuously-verified listings.

Compared from listings verified as of

AnythingLLM

Assistant

All-in-one private AI app for chatting with your documents, with agents.

View AnythingLLM

Onyx

Assistant

Open-source, self-hosted AI chat and enterprise search over your own docs.

View Onyx

At a glance

Feature comparison of AnythingLLM and Onyx
AttributeAnythingLLMOnyx
CategoryAssistantAssistant
PricingFREEMIUMFREEMIUM
LicenseOpen coreOpen core
Deployment (differs)HybridSelf-host
Platforms (differs)Web, macOS, Windows, Linux, APIWeb, API
Model supportMulti-modelMulti-model
Vendor (differs)Mintplex LabsOnyx
Capabilities (differs)
  • Web scraping
  • Tool / function calling
  • RAG pipeline
  • Chat with documents
  • Text-to-SQL
  • Agent framework
  • Chat with documents
  • Unified search
  • RAG pipeline
  • Cited answers
  • Knowledge graph

The honest brief

AnythingLLM

Same private RAG workspace runs either as a one-click desktop app or a Docker server — solo or multi-user team.

  • MIT open source
  • One-click desktop or Docker deploy
  • 40+ LLM providers + local models
  • Built-in RAG, agents, multi-user workspaces
  • RAG quality depends on your setup
  • Self-host requires ops effort
  • Fewer integrations than enterprise suites
  • Hosted tier is paid

Onyx

Formerly Danswer — MIT-core enterprise search/RAG over your own apps, self-hosted, optional features under open-core.

  • Data stays on your own infrastructure
  • Connects to company docs and apps
  • Works with any LLM, incl. local
  • MIT core, free
  • Some features under separate license
  • Self-host ops overhead
  • Connectors need configuration

When to pick which

Both cover RAG pipeline and Chat with documents.

Pick AnythingLLM if you need Web scraping, Tool / function calling, and Text-to-SQL.

  • Web scraping (secondary capability)
  • Tool / function calling (secondary capability)
  • Text-to-SQL (secondary capability)

Pick Onyx if you need Agent framework, Cited answers, Unified search, and Knowledge graph.

  • Agent framework (secondary capability)
  • Cited answers (primary capability)
  • Unified search (secondary capability)
  • Knowledge graph (secondary capability)

AnythingLLM leans on Chat with documents as a headline capability; Onyx treats it as secondary.

  • Chat with documents (primary capability)

They also differ on:

Deployment
Hybrid · Self-host
Platforms
Web, macOS, Windows, Linux, API · Web, API