What problem does it solve?
Automates complex, multi-step collaborations by orchestrating multiple AI agents as a coordinated team to analyze tasks, form teams, execute work, and summarize results.
Core Features & Use Cases
- Pattern-driven team orchestration to automatically select team patterns like 병렬-리뷰, 파이프라인, 크로스-레이어, and 가설-검증 based on prompt keywords.
- Phase-driven execution that guides work through detection, analysis, team creation, spawning, progress tracking, and final shutdown with a consolidated report.
- Subagent fallback that switches to a Subagent-only workflow when Agent Teams are unavailable, preserving progress and enabling continued task delivery.
- Practical scenarios include security reviews, code reviews, API design reviews, and end-to-end feature development.
Quick Start
Provide a task description and optional pattern or team members to auto-create a team, spawn tasks, and deliver a final report.