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🚀 Loop Cockpit

Stop writing prompts. Start designing loops.

Loop Engineering 的本地可视化控制驾驶舱 · Local visual control cockpit for Loop Engineering

简体中文 · English · 产品白皮书 · 路线图

License: MIT Status Stage


🇨🇳 简体中文

是什么

Loop Cockpit 是一个本地运行的、面向独立开发者Loop Engineering 控制驾驶舱

在你启动它的环境里,浏览器自动打开一个 Web 应用——你不再手写提示词,而是设计 Loop: 定义目标(Goal)、定义完成标准(Done Criteria),剩下的让 Agent 在沙箱里自主循环到达成为止。

为什么需要它

2026 年 6 月,行业范式正在从 Prompt Engineering 转向 Loop Engineering。 但现有的工具要么是云端 SaaS、要么是命令行 Agent、要么是企业级运维平台—— 缺一个"独立开发者本地可视化设计 Loop"的工具。Loop Cockpit 来补这个空缺。

核心能力

  • 🎯 多 Loop 管理:一个工作台同时设计、调度、监控多个 Loop
  • 🧰 Skill / MCP 配置:可视化挂载技能包与 MCP 服务器
  • 💬 提示词控制:每个 Loop 可定义自己的 system prompt 模板
  • 目标管理:Goal + Done Criteria 双向锚定,自动验收
  • 📜 过程与结果可审计:全量日志、推理链、token 流水
  • 🛡 沙箱运行:每个 Loop 在独立 Git Worktree 中执行,互不污染
  • 📦 项目/任务双维度:可绑定指定 git 项目,可针对特定任务迭代
  • 多源触发器:Cron 定时、手动、Webhook、Git PR、Issue、邮件、飞书消息……
  • 🔌 Agent 可插拔:MVP 优先 Claude Code,后续支持 OpenCode / Kimi Code / Codex / Trae / Qwen Code / MiniMax Code 等

当前状态

🚧 Planning · Iteration 1 (Foundation) —— 正在做产品定义、原型、技术尖刀验证。 代码还没开始写,欢迎围观 路线图PRD

快速开始(占位)

# 还没发布。等 Iteration 2 完成后会在这里放可运行命令。
npx loop-cockpit start   # 计划中

文档地图

类目 文档
产品 白皮书 · PRD · 非目标 · 术语 · 路线图
设计 交互流程 · UI 规格
架构 总览 · 数据模型 · 模块 · ADR
运行时 Agent 契约
AI 协作 AGENTS.md

参与

这是一个独立开发者项目,目前由 @oh-summy 维护。

  • 💡 想法和反馈:开 Issue
  • 🐛 文档错漏:直接 PR
  • 🤝 想协作:欢迎在 Discussions 留言

License

MIT


🇬🇧 English

What is it

Loop Cockpit is a local-first, solo-developer-friendly Loop Engineering control cockpit.

It opens a browser-based web app on the machine you launch it from. Instead of writing prompts, you design Loops: define a Goal and Done Criteria, then let agents iterate autonomously in a sandbox until completion.

Why

As of June 2026, the industry is shifting from Prompt Engineering to Loop Engineering. Existing tools are either cloud SaaS, command-line agents, or enterprise ops platforms — none of them is "a local, visual Loop designer for solo developers". Loop Cockpit fills this gap.

Core capabilities

  • 🎯 Multi-Loop management — design, schedule, and monitor multiple loops in one cockpit
  • 🧰 Skill / MCP configuration — visually attach skill packs and MCP servers
  • 💬 Prompt control — each Loop carries its own system prompt template
  • Goal management — Goal + Done Criteria anchor the loop, auto-evaluation built-in
  • 📜 Auditable process & results — full logs, reasoning trail, token accounting
  • 🛡 Sandboxed execution — each Loop runs in an isolated Git worktree
  • 📦 Project / task dual axis — bind a Loop to a Git repo, iterate per task
  • Multi-source triggers — Cron, manual, webhooks, Git PR / Issue events, email, Lark messages…
  • 🔌 Pluggable agents — Claude Code first; OpenCode / Kimi Code / Codex / Trae / Qwen Code / MiniMax Code planned

Status

🚧 Planning · Iteration 1 (Foundation) — product definition, prototype, and technical spike in progress. No runnable code yet. Track progress via the Roadmap.

Quick start (placeholder)

# Not released yet. A working command will appear here after Iteration 2.
npx loop-cockpit start   # planned

Docs

Category Docs
Product Whitepaper · PRD · Non-goals · Glossary · Roadmap
Design UX flow · UI spec
Architecture Overview · Data model · Modules · ADR
Runtime Agent contract
AI collab AGENTS.md

Contributing

This is an indie project maintained by @oh-summy.

  • 💡 Ideas / feedback: open an issue
  • 🐛 Docs typos: send a PR
  • 🤝 Want to collaborate: drop a note in Discussions

License

MIT

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Stop writing prompts. Start designing loops.

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