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
Run many coding agents in parallel. Every task gets its own worktree, terminal and stage pipeline, on one dashboard.
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。
The next generation of an ADE.
Run many coding agents in parallel, manage the work as tasks, and see what needs you on one dashboard.
Open port 5173 and sign in with the token devtoken. The demo task has a workspace with commits and changes. See docs/docker.md.
For tasks in every state with agents at work, run scripts/dev.sh seed. It starts the daemon with scripts/fake-agent.sh in place of Claude Code, which is not in the dev image. The next scripts/dev.sh up goes back to claude.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。
The next generation of an ADE.
Run many coding agents in parallel, manage the work as tasks, and see what needs you on one dashboard.
Open port 5173 and sign in with the token devtoken. The demo task has a workspace with commits and changes. See docs/docker.md.
For tasks in every state with agents at work, run scripts/dev.sh seed. It starts the daemon with scripts/fake-agent.sh in place of Claude Code, which is not in the dev image. The next scripts/dev.sh up goes back to claude.查看完整 README ↗