AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
AI 코딩 CLI용 다중 에이전트 오케스트레이션, Claude Code·Kiro·Codex 등을 tmux 격리 세션에서 조정
Multi-agent orchestration for AI coding CLIs — Claude Code, Kiro, Codex, and more, coordinated in isolated tmux sessions
개발 도구Python · RustGitHub @awslabs온라인운영자 미확인
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README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
CLI Agent Orchestrator (CAO) coordinates multiple AI coding CLIs so a
supervisor can delegate work to specialist agents in parallel or sequence.
📚 Documentation —
guides, reference, and two interactive courses.
CAO runs a local cao-server, starts provider CLIs in isolated terminal
sessions, and gives a supervisor tools for coordinating workers. The agents
remain full CLI processes with their native authentication and capabilities.
See CODEBASE.md for the runtime architecture and package layout.README 전문 보기 ↗지금 README 전체를 불러올 수 없습니다. 원문 링크에서 읽을 수 있습니다. 아래는 저장된 발췌입니다.
CLI Agent Orchestrator (CAO) coordinates multiple AI coding CLIs so a
supervisor can delegate work to specialist agents in parallel or sequence.
📚 Documentation —
guides, reference, and two interactive courses.
CAO runs a local cao-server, starts provider CLIs in isolated terminal
sessions, and gives a supervisor tools for coordinating workers. The agents
remain full CLI processes with their native authentication and capabilities.
See CODEBASE.md for the runtime architecture and package layout.README 전문 보기 ↗