AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
Utkarsh Kanwat: AI 코딩 에이전트 연구 엔지니어
AI Research Engineer at AutonomyAI building AI coding agents. Previously built production LLM and RAG systems at ANZ. Published researcher from IIT Bombay specializing in computer vision and deep lear
개발 도구TypeScriptGitHub @ukanwat온라인운영자 미확인
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Give a coding agent a brief, not a chat, and it works on its own across sessions. Includes an example run: an open-world city built in a real game engine with no human help. In early development.
저장소 README에서 가져옴
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
Agents that exist, not sessions.
Today's coding agents work like a junior or a student. You sit with them and chat through every
step, and the moment you stop talking, the work stops.
Overtime agents work like a senior. You brief them once. They plan the work, do it, keep their own
notes, check their own results, and come back only when something is really yours to decide. You
can steer whenever you like, but you don't have to.README 전문 보기 ↗Overtime runs agents that keep working without you. Brief one once, in plain words: it plans, does the work, keeps its own notes, wakes itself when something happens, splits big jobs across helpers, and messages you only when something is yours to decide. It has no model of its own: it drives the coding agents you already use (Claude, Codex, Gemini CLI, OpenCode, anything that speaks ACP).
npm install -g @ukanwat/overtime
overtime
Needs Node 22.19+ and one coding agent signed in (Claude is built in and uses your Claude Code login). Closing the app changes nothing: a small background process keeps your agents running.
Each of these is one agent you brief once, in plain words. It works on its own schedule, on what you give it access to, and asks before anything that's yours to decide.
For your work
For your life
~/overtime/agents/<name>/: its job in AGENT.md, its notes, its
memory and its skills, all plain files you can read and edit.The app, every command, backends, memory, the FAQ and recordings of real runs are in
How Overtime works. The run Overtime grew out of (one agent, one brief, a real game engine, no human help)
is in examples/open-world-game.
Early. Claude is the backend tested most; Codex and Gemini are wired up through their ACP adapters and need wider testing. Later: answering from your phone, quiet-time tidying, a morning standup, sharing agents, and running Overtime on a server for around-the-clock watches.
MIT licence.