Debanjum 92c1efe6ee Fixes to render & save code context with non text based output modes
- Fix to render code generated chart with images, excalidraw diagrams
- Fix to save code context to chat history in image, diagram output modes
- Fix bug in image markdown being wrapped twice in markdown syntax
- Render newline in code references shown on chat page of web app
  Previously newlines weren't getting rendered. This made the code
  executed by Khoj hard to read in references. This changes fixes that.

  `dangerouslySetInnerHTML' usage is justified as rendered code
  snippet is being sanitized by DOMPurify before rendering.
2024-11-11 18:00:22 -08:00
2024-11-02 12:23:11 -07:00
2024-11-02 12:23:11 -07:00

Khoj Logo

test docker pypi discord

Your AI second brain

📑 Docs   •   🌐 Web   •   🔥 App   •   💬 Discord   •   ✍🏽 Blog


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

demo_chat

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.

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.

Description
No description provided
Readme AGPL-3.0 116 MiB
Languages
Python 51%
TypeScript 36.1%
CSS 4.1%
HTML 3.2%
Emacs Lisp 2.4%
Other 3.1%