Launching today
KAGAN

KAGAN

AI Orchestration Layer for Coding Agents

3 followers

πŸ–₯️ Turn your terminal into an AI command center. Kagan is a keyboard-first Kanban TUI that orchestrates AI agents (Claude Code, OpenCode) to complete tickets autonomously or collaboratively. Two modes: ⚑ PAIR β€” Real-time tmux sessions with AI πŸ€– AUTO β€” Background agents working in parallel Describe features in natural language β†’ Kagan breaks them into actionable tickets. Each task runs in isolated git worktrees, keeping your main branch safe. Code review ensures human oversight before merge.
KAGAN  gallery image
KAGAN  gallery image
KAGAN  gallery image
Free
Launch Team
Intercom
Intercom
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Promoted

What do you think? …

Altynbek Orumbayev
Maker
πŸ“Œ
Hello ProductHunt! πŸ‘‹ Launching Kagan today - a terminal UI designed for developers who want AI agents that augment their workflow, not replace their thinking. Why we built this: At MakerX, we were experimenting with Claude Code and OpenAI Code for rapid prototyping. The problem became obvious: agentic cli tools are powerful, but orchestrating them is painful. You're alt-tabbing, losing context, manually reviewing output, and second-guessing whether to merge. We realized the real work wasn't the codeβ€”it was the collaboration structure. The core insight: AI agents excel at repetitive, scoped tasks. Humans excel at judgment and complexity. What's missing is the interface that bridges them. Kanban + AI = that interface. What you get: 🎫 Terminal-based kanban β€” Organize agentic CLI sessions as discrete tickets πŸ€– Autonomous mode β€” Low-risk tasks run fully AI-driven, review agent validates before merge πŸ‘₯ Pair mode β€” Collaborate inside tmux with an AI agent in real-time πŸ” Smart planner β€” Convert complex requirements into scoped, actionable tickets using ACP + your preferred agent Who this is for: - Indie developers experimenting with AI-assisted workflows - Teams running exploratory projects (non-production codebases) - Anyone frustrated with context-switching between multiple agentic CLIs - Developers who want AI speed with human judgment Real use case: You have a 10-ticket sprint. Three are experimental. You put them in autonomous mode, Kagan's AI runs them, review agent flags issues, you merge when confident. No context switching. No manual orchestration. Open-source under MIT. Try it at kagan.sh. What's your biggest blocker with agentic tools right now? Is it speed, trust, or context management? Really curious what friction you're hitting. ⭐ GitHub star would mean a lot if you find this useful: https://github.com/aorumbayev/kagan