AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
코딩 에이전트들을 관리하면서 브랜치·리뷰·CI 실패를 놓치지 않고 운영합니다 Apache 2.0 라이선스의 무료 오픈소스입니다
Run a fleet of coding agents without losing track of branches, reviews, or CI failures. Free and open source under Apache 2.0.
개발 도구Go · TypeScriptGitHub @OrchestratorInc온라인운영자 미확인
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Run and supervise teams of coding agents from planning to merge. Any harness (Claude code, codex, +25 more). Desktop, web, mobile, and cloud agents.
저장소 README에서 가져옴
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
Plan, run, and supervise coding agents from one place.
Give every coding task its own agent, workspace, and feedback loop.
Plan and delegate larger outcomes with a project-aware orchestrator.
Follow every worker, pull request, CI run, and review in a live Kanban.
One coding agent can handle a task. Running several across a project creates a different job: deciding what matters, splitting work cleanly, giving each agent the right context, preventing branch collisions, and following every change through review and merge.README 전문 보기 ↗지금 README 전체를 불러올 수 없습니다. 원문 링크에서 읽을 수 있습니다. 아래는 저장된 발췌입니다.
Plan, run, and supervise coding agents from one place.
Give every coding task its own agent, workspace, and feedback loop.
Plan and delegate larger outcomes with a project-aware orchestrator.
Follow every worker, pull request, CI run, and review in a live Kanban.
One coding agent can handle a task. Running several across a project creates a different job: deciding what matters, splitting work cleanly, giving each agent the right context, preventing branch collisions, and following every change through review and merge.README 전문 보기 ↗