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Previously the research mode planner ignored the current agent or conversation specific chat model the user was chatting with. Only the server chat settings, user default chat model, first created chat model were considered to decide the planner chat model. This change considers the agent chat model to be used for the planner as well. The actual chat model picked is decided by the existing prioritization of server > agent > user > first chat model.
Your AI second brain
🎁 New
- Start any message with
/researchto try out the experimental research mode with Khoj. - Anyone can now create custom agents with tunable personality, tools and knowledge bases.
- Read about Khoj's excellent performance on modern retrieval and reasoning benchmarks.
Overview
Khoj is a personal AI app to extend your capabilities. It smoothly scales up from an on-device personal AI to a cloud-scale enterprise AI.
- Chat with any local or online LLM (e.g llama3, qwen, gemma, mistral, gpt, claude, gemini).
- Get answers from the internet and your docs (including image, pdf, markdown, org-mode, word, notion files).
- Access it from your Browser, Obsidian, Emacs, Desktop, Phone or Whatsapp.
- Create agents with custom knowledge, persona, chat model and tools to take on any role.
- Automate away repetitive research. Get personal newsletters and smart notifications delivered to your inbox.
- Find relevant docs quickly and easily using our advanced semantic search.
- Generate images, talk out loud, play your messages.
- Khoj is open-source, self-hostable. Always.
- Run it privately on your computer or try it on our cloud app.
See it in action
Go to https://app.khoj.dev to see Khoj live.
Full feature list
You can see the full feature list here.
Self-Host
To get started with self-hosting Khoj, read the docs.
Enterprise
Khoj is available as a cloud service, on-premises, or as a hybrid solution. To learn more about Khoj Enterprise, visit our website.
Contributors
Cheers to our awesome contributors! 🎉
Made with contrib.rocks.
Interested in Contributing?
We are always looking for contributors to help us build new features, improve the project documentation, or fix bugs. If you're interested, please see our Contributing Guidelines and check out our Contributors Project Board.
Languages
Python
51%
TypeScript
36.1%
CSS
4.1%
HTML
3.2%
Emacs Lisp
2.4%
Other
3.1%

