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Agent工作流

Clodpod

基于 Shell · 无代码搭建完整 AI 自动化流程

英文名：clodpod

⭐ 146 Stars 🍴 16 Forks 💻 Shell 📄 Apache-2.0 🏷 AI 7.5分

7.5AI 综合评分

claude-codemacossandboxshell

⬇ 下载源码 ZIP ⚙️ 配置说明

✦ AI Skill Hub 推荐

AI Skill Hub 推荐使用：Clodpod 是一款优质的Agent工作流。AI 综合评分 7.5 分，在同类工具中表现稳健。如果你正在寻找可靠的Agent工作流解决方案，这是一个值得深入了解的选择。

📚 深度解析

Clodpod 是一套完整的 AI Agent 自动化工作流方案。随着 AI 能力的不断提升，基于 Agent 的自动化工作流正在成为提升个人和团队效率的核心方式。区别于传统的 RPA 自动化（模拟鼠标键盘操作），AI Agent 工作流通过理解任务意图、动态规划执行路径，能够处理更复杂的非结构化任务。

Clodpod 工作流的设计遵循"最小配置，最大复用"原则：核心逻辑已经封装好，用户只需配置自己的 API Key 和业务参数即可快速上手。工作流内置错误处理和重试机制，在网络波动或 API 限速等情况下仍能稳定运行，适合作为生产环境的自动化基础设施。

在实际部署时，建议先在测试环境中运行 3-5 次，验证各个环节的输出结果符合预期，再部署到生产环境。AI Skill Hub 评分 7.5 分，是同类 Agent 工作流中的精选推荐。

📋 工具概览

Clodpod 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。

GitHub Stars

⭐ 146

开发语言

Shell

支持平台

macOS / Linux

维护状态

轻量级项目，按需更新

开源协议

Apache-2.0

AI 综合评分

7.5 分

工具类型

Agent工作流

Forks

📖 中文文档

以下内容由 AI Skill Hub 根据项目信息自动整理，如需查看完整原始文档请访问底部「原始来源」。

📌 核心特色

可视化 Agent 工作流编排，无需编写复杂代码
支持多步骤自动化任务链，实现全流程无人值守
与外部 API、数据库和第三方服务无缝集成
内置错误处理与自动重试机制，保障稳定运行
提供可复用的自动化模板，快速在同类场景部署

🎯 主要使用场景

自动化日常重复性工作，将精力集中于创造性任务
构建数据采集 → 处理 → 输出的完整自动化管线
实现跨平台、跨系统的数据流转和业务协同

以下安装命令基于项目开发语言和类型自动生成，实际以官方 README 为准。

安装命令

# 克隆仓库
git clone https://github.com/webcoyote/clodpod
cd clodpod

# 查看安装说明
cat README.md

# 按 README 完成环境依赖安装后即可使用

📋 安装步骤说明

访问 GitHub 仓库获取工作流文件
在对应平台（Dify / Flowise / Make 等）中找到「导入工作流」功能
上传工作流文件
按照提示配置必要的环境变量和 API Key
运行测试确认流程正常后投入使用

以下用法示例由 AI Skill Hub 整理，涵盖最常见的使用场景。

常用命令 / 代码示例

# 查看帮助
clodpod --help

# 基本运行
clodpod [options] <input>

# 详细使用说明请查阅文档
# https://github.com/webcoyote/clodpod

以下配置示例基于典型使用场景生成，具体参数请参照官方文档调整。

配置示例

# clodpod 配置说明
# 查看配置选项
clodpod --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 CLODPOD_CONFIG="/path/to/config.yml"

📑 README 深度解析真实文档完整度 55/100 查看 GitHub 原文 →

以下内容由系统直接从 GitHub README 解析整理，保留代码块、表格与列表结构。

ClodPod - Run AI agents in a macOS VM sandbox

<img src="https://www.codeofhonor.com/images/projects/clodpod.webp" align="left" width="200px"/> ClodPod creates a macOS virtual machine sandbox configured to run applications like Claude Code, Open AI Codex, Google Gemini, and Cursor Agent. It facilitates disabling AI permission prompts so you can get work done without risking your entire computer. ClodPod maps any number of your project directories into the virtual machine so AI agents can work on your code while remaining isolated from your host computer. ClodPod virtual machines include Xcode and common development tools, and it's easy to extend to add your own development tools and configuration files.

---

Key features

Builds a virtual machine and launches AI agents with access to your projects
Enables mapping multiple projects in the same virtual machine simultaneously
Open multiple AI agents sessions and shell prompts, or use the GUI
Headless mode for CI/CD workflows with --no-graphics
Includes Xcode and common development tools; you can add your own tools too
Fast rebuild and relaunch using a three-layer APFS CoW caching system
Named VM instances for switching between projects or worktree branches
Parallel VM execution with configurable memory budget

Usage:

# Clone clodpod git clone https://github.com/webcoyote/clodpod ~/projects/clodpod

# Create an alias for clod or add it to your path alias clod="$HOME/projects/clodpod/clod" # - or - alias clod="$HOME/projects/clodpod/clod --no-graphics" # - or - PATH="$PATH:"$HOME/projects/clodpod"

# Note: for the first run you'll want to start in the project directory, # which will get remembered. Use add/remove for changing projects. cd "YOUR PROJECT DIRECTORY"

# Run Claude Code clod claude # also clod cl"

# Run OpenAI Codex clod codex # also "clod co"

# Run Google Gemini clod gemini # also "clod g"

# Or a command shell clod shell # also "clod s"

# Start virtual machine (useful for utilizing Virtual Machine GUI apps) clod start

# Enable passwordless sudo in VM ALLOW_SUDO=true clod build-base

# Disable passwordless sudo in VM (default) ALLOW_SUDO=false clod build-base

# Stop all clodpod virtual machines clod stop

# Add/remove/list projects clod add "THIRD PROJECT DIRECTORY" # also "clod a ..." clod remove "FOURTH PROJECT DIRECTORY" # also "clod rm ..." clod list # also "clod l", "clod ls"

Per-project Homebrew dependencies (Brewfile)

If a mounted project contains a Brewfile at its root, ClodPod will reconcile it via brew bundle automatically:

At instance creation (clod create): every mounted project's Brewfile is applied.
At every shell entry (clod claude, clod shell, etc.): the active project's Brewfile is checked with brew bundle check; install only runs on drift, so steady-state cost is negligible.

The default file is ./Brewfile; override per-session by setting the standard HOMEBREW_BUNDLE_FILE env var. Install uses --no-upgrade, so pinned versions stay pinned. Failures emit a loud warning but never block the VM or shell from starting. ClodPod does not run brew bundle cleanup — removal stays a manual call.

Setup notes

By default the guest CPU count is set to be identical to the host system, and guest memory to 5/8 * host memory (NOTE1) to provide resources for compiling projects in Xcode.

NOTE1: This value was empirically calculated (N=1) to leave plenty of memory for web-browsing, which I shouldn't be doing anyway.

Optional virtual machine configuration (example):

tart set clodpod-xcode --cpu 8 tart set clodpod-xcode --memory "$(( $(sysctl -n hw.memsize) * 2 / 3 / 1024 / 1024 ))"

Add your own tools and configuration

To add custom configuration; see ./guest/home/README.md.

Alternatives

SandVault runs AI agents in a limited user account on macOS.
Chamber is a proof-of-concept app for running Claude Code inside a macOS virtual machine.
Claude Code Sandbox runs Claude Code in a Docker container (Linux)

🎯 aiskill88 AI 点评 A 级 2026-06-14

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