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TAKT

Stop babysitting AI coding agents. Define coordination, human checkpoints, and review loops in YAML.

★ 1,310 GitHub MIT ai-agentsorchestrationworkflowyamlclicoding-agents AI Agents

Overview

TAKT is an open-source CLI that turns AI coding agents into repeatable development workflows. Define planning, implementation, review, and fix loops, human checkpoints, permissions, and output contracts in YAML, then run tasks with isolated worktrees and traceable logs. Instead of asking one agent to remember the whole process, TAKT gives each step its own role, context, and transition rules. Agents can code, but the workflow decides what happens next. Works with Claude Code, Claude SDK, Codex SDK, OpenCode SDK, Pi SDK, the official DeepSeek Harness SDK, Cursor, GitHub Copilot CLI, and Kiro as providers. Built primarily for AI coding workflows, the same model applies to any task where multiple AI agents need to coordinate, or where review, judgment, and feedback loops improve task quality.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Affiliate disclosure

Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  takt:
    image: rohara/takt:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/takt:/data

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