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Khoj vs Jan

KhojJan

A self-hosted AI second brain for your notes and docs.

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

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Votes00
PricingFreemiumFree
CategoryNote TakingChatbots
Tags
practical-ossopen-sourceself-hostedknowledge
practical-ossopen-sourceself-hostedoffline
Best for——
Pros
  • Chat with and search across your own notes, documents, and PDFs in natural language
  • Runs with local models for privacy or cloud models for more capability
  • Integrates into Obsidian and Emacs, plus web, desktop, and mobile clients
  • Surfaces the source documents behind its answers, not just a bare reply
  • Open source under AGPL-3.0 and self-hostable, with a managed cloud option too
  • 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 involves a Docker stack and some configuration to get running well
  • Local-model quality and speed depend on your hardware; cloud models cost money
  • Indexing large or messy document collections can take tuning to get good results
  • AGPL-3.0 copyleft terms matter if you modify and offer it as a hosted service
  • 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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