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AI-powered Kanban TUI and MCP server for autonomous development workflows. Orchestrates 14 coding agents across task tracking, isolated git worktrees, review, a
AI-powered Kanban TUI and MCP server for autonomous development workflows. Orchestrates 14 coding agents across task tracking, isolated git worktrees, review, and merge.
Kagan is a Kanban TUI for AI coding agents with a structural human review gate. No agent-authored task reaches your main branch without an explicit approval — the state machine enforces it.
The agent runs in an isolated git worktree. When it finishes, the task card moves to REVIEW. You read the diff, check the acceptance criteria, and press approve. Then merge fires. That transition — REVIEW to DONE — cannot be automated away. It is not a setting.
uv tool install kagan # or: uvx kagan
curl -fsSL https://uvget.me/install.sh | bash -s -- kagan
iwr -useb uvget.me/install.ps1 -OutFile install.ps1; .\install.ps1 kagan
kagan doctor preflight checks all required tools before first runTested agents: Claude Code · Codex · Gemini CLI · 11 more — see docs/backends.
Full docs: docs.kagan.sh
The TUI (kagan) is the primary operator surface. Two companion surfaces exist for specific workflows:
kagan web) — browser-based board, useful for remote access or a second monitor@kagan chat participant inside VS CodeBoth companions share the same state as the TUI via the same API server. Neither is required.
Выполни в терминале:
claude mcp add kagan-sh-kagan -- npx pro-tip
Поставил kagan-sh/kagan? Скажи Claude: «запомни почему я установил kagan-sh/kagan и что хочу попробовать» — попадёт в твой Vault.
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