AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
翻譯準備中
Run and supervise teams of coding agents from planning to merge. Any harness (Claude code, codex, +25 more). Desktop, web, mobile, and cloud agents.
翻譯準備中
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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.檢視完整 README ↗目前無法載入完整 README。請透過原文連結閱讀。 以下為已儲存的摘錄。
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.檢視完整 README ↗