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Onyx vs Jan

OnyxJan

AI search and chat across your company apps.

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Run open-source AI chatbots offline on your own computer.

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Votes00
PricingFreemiumFree
CategoryEnterprise SearchChatbots
Tags
ai-assistantenterprise-searchopen-sourcepractical-ossragself-hosted
practical-ossopen-sourceself-hostedoffline
Best for
  • Engineering-capable teams
  • Security and privacy-focused organizations
  • Companies avoiding vendor lock-in
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Pros
  • Open-source and MIT-licensed with free self-hosting
  • 40+ connectors to common workplace apps
  • Model-agnostic, works with any LLM
  • Granular access controls and data residency
  • Active GitHub community and rapid development
  • Runs LLMs fully offline on your own hardware, so conversations stay private by default
  • Simple point-and-click model downloads from Hugging Face, no command line required
  • Genuinely open source under the permissive Apache-2.0 license
  • Exposes an OpenAI-compatible local API server (localhost:1337) for wiring into other apps
  • Optionally connects to cloud providers and supports MCP for agent-style tool use
Cons
  • Self-hosting requires engineering effort to deploy and maintain
  • Less polished onboarding than turnkey SaaS
  • No native mobile app
  • Advanced/enterprise features may need the paid tier
  • Support for self-hosters is community-driven
  • Local model quality depends heavily on your RAM and GPU; small models are far weaker than ChatGPT or Claude
  • Decent performance effectively needs 16GB+ RAM and ideally a supported GPU
  • Still maturing, with a fairly high open issue count and occasional rough edges
  • Building from source on Windows is involved and requires a full compiler toolchain

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