Compozy

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Open-source CLI that orchestrates 40+ AI coding agents through a seven-phase pipeline from idea to a merged pull request.

What it does

Compozy is an open-source, single-binary CLI that orchestrates AI-assisted software development. It routes work across 40+ AI coding agents (Claude Code, Codex, Cursor, Gemini and more) through a structured seven-phase pipeline, from idea and PRD to spec, tasks, execution, review and persisted memory. Each phase produces a versioned markdown artifact for a full audit trail.

How to use: Compozy is used by defining AI workflows, agents, and tasks through intuitive declarative YAML templates. Users can design complex AI workflows with dynamic variables and functions, create intelligent agents with LLM integration and tool support, and execute diverse task types including basic, parallel, and collection operations. It supports custom JavaScript/TypeScript tools via a secure Bun runtime, integrates with external systems using Model Context Protocol (MCP), handles signal-based events, and manages scheduled workflows and memory for context-aware AI applications.

Core features

✦Orchestrates 40+ AI coding agents
✦Seven-phase idea-to-PR pipeline
✦Versioned markdown artifacts per phase
✦Codebase-aware agents
✦Local-first, single-binary, zero dependencies
✦MIT open source

Use cases

→Automate feature development end to end
→Route tasks to the best-suited AI agent
→Keep an auditable trail of AI-generated work
→Run multi-agent coding from the terminal