经 AI Skill Hub 精选评估,AI工作流命令中心 获评「强烈推荐」。这款Agent工作流在功能完整性、社区活跃度和易用性方面表现出色,AI 评分 8.0 分,适合有一定技术背景的用户使用。
AI工作流命令中心 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
AI工作流命令中心 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
# 方式一:npm 全局安装 npm install -g clitrigger # 方式二:npx 直接运行(无需安装) npx clitrigger --help # 方式三:项目依赖安装 npm install clitrigger # 方式四:从源码运行 git clone https://github.com/HyperAITeam/CLITrigger cd CLITrigger npm install npm start
# 命令行使用
clitrigger --help
# 基本用法
clitrigger [options] <input>
# Node.js 代码中使用
const clitrigger = require('clitrigger');
const result = await clitrigger.run(options);
console.log(result);
# clitrigger 配置说明 # 查看配置选项 clitrigger --config-example > config.yml # 常见配置项 # output_dir: ./output # log_level: info # workers: 4 # 环境变量(覆盖配置文件) export CLITRIGGER_CONFIG="/path/to/config.yml"
<picture> <source media="(prefers-color-scheme: dark)" srcset="https://raw.githubusercontent.com/HyperAITeam/CLITrigger/main/src/client/public/logo.svg"> <source media="(prefers-color-scheme: light)" srcset="https://raw.githubusercontent.com/HyperAITeam/CLITrigger/main/src/client/public/logo.svg"> <img alt="CLITrigger" src="https://raw.githubusercontent.com/HyperAITeam/CLITrigger/main/src/client/public/logo.svg" width="360"> </picture>
Your AI Development Command Center
AI agents code overnight in parallel git worktrees — you review the diffs over coffee.
<p align="center"> <a href="https://github.com/HyperAITeam/CLITrigger/blob/main/README.md">English</a> · <a href="https://github.com/HyperAITeam/CLITrigger/blob/main/README_KR.md">한국어</a> </p>
<br>
<img src="https://raw.githubusercontent.com/HyperAITeam/CLITrigger/main/docs/images/demo.gif" alt="CLITrigger demo — parallel AI agents executing in isolated worktrees, then morning diff review" width="800">
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npm i -g clitrigger && clitrigger
Up and running in 60 seconds — open http://localhost:3000, set a password, add a project, write TODOs, hit Start.
</div>
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### Plan it. Delegate it. Review it. CLITrigger brings your day's work and your AI agents into one place. Capture what needs doing — in a personal calendar, a planner, or a project knowledge wiki — then hand it to multiple AI coding agents (Claude Code · Codex · Gemini CLI) running in parallel, each in its own isolated git worktree. While you sleep (or focus elsewhere), they burn through your token quota. Next morning you sit down, review the stack of diffs, and accept / reject / merge. Parallel AI execution — without losing context.
AI CLIs working simultaneously across isolated git worktrees
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CLITrigger spans four layers — plan & organize what needs doing, delegate it to AI, review & ship the results, and access it from anywhere. Each feature below has a full guide in the Wiki (↗).
npm i -g clitrigger clitrigger
git clone https://github.com/HyperAITeam/CLITrigger.git cd CLITrigger npm install cd src/client && npm install && cd ../..
winget install cloudflare.cloudflared # Windows brew install cloudflared # macOS
Download the installer for your platform from the latest GitHub release:
CLITrigger-Setup-<version>.exe (NSIS installer) or the portable .exeCLITrigger-<version>.dmg (Apple Silicon & Intel)CLITrigger-<version>.AppImageThe desktop app bundles Node.js and the native modules (better-sqlite3, node-pty, cloudflared), so no separate runtime install is needed. On first launch a setup screen appears in the embedded browser — pick a password there and you're in. External sharing (Cloudflare tunnel) stays paused until setup completes, so the first user is guaranteed to be you.
```bash
clitrigger config port 8080 # Change port clitrigger config tunnel on # Enable Cloudflare tunnel for external sharing ```
Prerequisites: Node.js 22+ (use an LTS release), Git, at least one AI CLI (Claude / Gemini / Codex) Supported Platforms: Windows · macOS · Linux — all core code is cross-platform compatible. Prefer an LTS (even-numbered) Node.js. A brand-new major (e.g. an odd/just-released version) may not have prebuilt native binaries yet, which forces a source build requiring a C++ toolchain (Visual Studio Build Tools on Windows, xcode-select --install on macOS).
cp .env.example .env
npm run start:tunnel
高效的AI工作流管理工具,值得关注
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
AI Skill Hub 点评:AI工作流命令中心 的核心功能完整,质量优秀。对于自动化工程师和运维人员来说,这是一个值得纳入个人工具库的选择。建议先在非生产环境试用,再逐步推广。
| 原始名称 | CLITrigger |
| Topics | ai-agentsai-automationclaudecodextypescript |
| GitHub | https://github.com/HyperAITeam/CLITrigger |
| License | MIT |
| 语言 | TypeScript |
收录时间:2026-06-17 · 更新时间:2026-06-17 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
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