AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
翻译准备中
Persisted multi-agent workflow orchestration — DAG tasks, git worktrees, merge gates, desktop + CLI + Slack
翻译准备中
取自仓库 README
正在加载完整 README。 以下为已保存的摘录。
A DAG of tasks in isolated git worktrees, composed through merge gates and review — desktop, CLI, and Slack on one control plane.
See parallel runs, dependencies, PRs, and replay paths in one stacked workflow graph — persistence is the source of truth, not process memory.
Plan and run Codex, Claude, and other agents as first-class DAG nodes with explicit lineage and session audit trails.
Human gates are first-class states — approve, retry, or redirect without leaving the control plane.查看完整 README ↗目前无法加载完整 README。请通过原文链接阅读。 以下为已保存的摘录。
A DAG of tasks in isolated git worktrees, composed through merge gates and review — desktop, CLI, and Slack on one control plane.
See parallel runs, dependencies, PRs, and replay paths in one stacked workflow graph — persistence is the source of truth, not process memory.
Plan and run Codex, Claude, and other agents as first-class DAG nodes with explicit lineage and session audit trails.
Human gates are first-class states — approve, retry, or redirect without leaving the control plane.查看完整 README ↗