AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
Run many coding agents in parallel. Every task gets its own worktree, terminal and stage pipeline, on one dashboard.
저장소 README에서 가져옴
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
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.README 전문 보기 ↗지금 README 전체를 불러올 수 없습니다. 원문 링크에서 읽을 수 있습니다. 아래는 저장된 발췌입니다.
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.README 전문 보기 ↗