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Previously Gemini 2 flash and flash lite were using context window of 10K by default as no defaults were added for it. Increase default context for small commercial models to 120K from 60K as cheaper and faster than their pro models equivalents at 60K context.
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%

