aorumbayev

aorumbayev / kagan

Public

The Orchestration Layer for AI Coding Agents

kagan.sh ai ai-agents antrophic claude claude-code
32
3
100% credibility
Found Feb 01, 2026 at 13 stars 2x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Kagan is a terminal user interface that provides a Kanban board for managing development tasks with integrated AI agents that can autonomously execute and review code changes.

How It Works

1
🔍 Discover Kagan

You find this handy tool on GitHub that promises to manage your coding projects with smart helpers doing the work automatically.

2
📦 Get it running

Follow simple steps to add it to your computer so you can start using it right away.

3
🚀 Open the board

Type one command and see your colorful Kanban board appear in your terminal, ready for action.

4
🤖 Link a smart helper

Pick and connect an AI buddy that will handle the thinking and coding for you.

5
✨ Add your ideas

Type what you want done, like 'fix the login' or 'add dark mode', and watch tasks appear on your board.

6
⚡ Let AI take over

Hit start on an auto-task, and your helper works independently, updating progress as it commits changes.

7
✅ Review and finish

Check the smart review, approve good work, and see changes safely merged into your project.

🎉 Projects flow smoothly

Your coding tasks complete themselves while you focus on the big picture, with everything organized and ready to go.

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Star Growth

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AI-Generated Review

What is kagan?

Kagan is a Python-based terminal Kanban board that lets you plan, run, and review AI coding agents directly from the CLI. Drop tasks onto a TUI board, assign agents like Claude Code, OpenCode, or plan github copilot via their CLI tools, and watch them spin up git worktrees to code autonomously or in pair mode with tmux/VS Code. It solves fragmented AI dev workflows by centralizing task tracking, agent execution, and merge reviews in one reactive interface—no browser tabs or GitHub plan ai dashboards needed.

Why is it gaining traction?

It stands out with parallel agent support and built-in review mode that flags merge conflicts before they bite, unlike scattered github plan compare tools or basic github plan free tiers. Devs hook on the zero-setup CLI (`kagan tui` launches the board, `kagan mcp` runs as a server) and seamless integration with git worktrees for isolated task branches. Early adopters praise the autonomous mode for plan run build cycles without leaving the terminal.

Who should use this?

Solo full-stack devs juggling side projects who want AI to handle boilerplate in isolated branches. Small teams on github plan team or organization skipping enterprise bloat for a lightweight github plan ai alternative. Anyone tired of context-switching between GitHub Copilot, Cursor, and manual PR reviews.

Verdict

Worth a spin for terminal diehards eyeing plan github copilot in Kanban form—solid docs and PyPI install make onboarding fast. At 20 stars and 1.0% credibility, it's alpha-raw (per classifiers), so expect rough edges; test on non-critical repos first.

(187 words)

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