AI工作流伴侣
AI工作流伴侣 是 AI Skill Hub 本期精选Agent工作流之一。综合评分 8.0 分，整体质量较高。我们强烈推荐将其纳入你的 AI 工具库，帮助提升工作效率。
📚 深度解析
AI工作流伴侣 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 8.0 分，是同类 Agent 工作流中的精选推荐。
📋 工具概览
AI工作流伴侣 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。
📖 中文文档
AI工作流伴侣 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。
- 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
- 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
# 克隆仓库 git clone https://github.com/ntd4996/agentpet cd agentpet # 查看安装说明 cat README.md # 按 README 完成环境依赖安装后即可使用
- 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
# 查看帮助 agentpet --help # 基本运行 agentpet [options] <input> # 详细使用说明请查阅文档 # https://github.com/ntd4996/agentpet
# agentpet 配置说明 # 查看配置选项 agentpet --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 AGENTPET_CONFIG="/path/to/config.yml"
简介
A desktop pet that reacts while your AI coding agents work , and grows the more you code.
Website · Install · Pet gallery · Leaderboard · Discord
If AgentPet brightens your workflow, please give it a star , it genuinely helps others find it.
English · Tiếng Việt · 简体中文 · 日本語
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Run several coding agents at once (Claude Code, Codex, Gemini, Cursor and more) and it gets hard to tell who is working, who is done, and who is waiting for your input. AgentPet answers that at a glance: a menu-bar monitor shows every agent's live state, and a little pixel pet floats on your desktop and reacts to it all.
It is also a tamagotchi. The pet is fed by real work , the tokens your agents burn and the sessions they finish , so it earns XP, levels up, unlocks achievements, and evolves as you code. Free, open source, and fully offline unless you choose to connect.
Enjoying AgentPet? Help keep it free.
It is built and given away for free. A coffee (or a star) keeps the features coming.
Highlights
- 🐾 Ambient desktop pet that mirrors your agents' state without breaking your focus.
- 📊 Menu-bar monitor with every agent, its project, what it's doing, and a live timer.
- 🎮 Raise your pet: real tokens and finished sessions feed it, level it up, and unlock 14 achievements.
- 🗂️ Per-project pets and a per-project token usage dashboard (daily and monthly).
- 🔌 11 coding agents supported out of the box, plus a universal wrapper for anything else.
- ☁️ Optional web profile, leaderboard, and cross-device restore , everything works offline if you skip it.
- 🌍 Localized in English, Tiếng Việt, 简体中文 and 繁體中文.
- 🍎 macOS (native Swift/SwiftUI, notarized), 🪟 Windows and 🐧 Linux (one Tauri app), with auto-update on macOS and Windows.
Features
Monitor your agents
- Multi-agent monitor in the menu bar: a live list of every agent with a colored status dot, the project, what it's doing (running tool / reason it's waiting), and a per-state timer counting in real time.
- At-a-glance icon: shows how many agents are running, and turns orange with a count when one needs your input.
- Native notifications when an agent finishes or asks for input, with sounds you can toggle.
- Reactive, themed speech bubbles per agent, with a model badge, plus fully custom messages and appearance if you want them.
- Session history: the last 90 days of sessions are kept locally so you can look back.
Raise your companion (tamagotchi)
- Your pet eats the real tokens your agents burn and the sessions they finish (including subagents). It earns XP, levels up, and evolves through five stages: Hatchling → Companion → Scout → Hero → Legend.
- Every pet keeps its own level, so the more you code with a companion, the more it grows.
- 14 achievements from real milestones: first session, level-ups, token burns (1M / 10M / 50M), session counts, feeding streaks, a Night Owl badge, and more.
- Stats HUD: right-click the pet for a game-style card , level, XP, hunger, a 7-day burn chart, your streak, and your live Claude / Codex subscription limits read directly from your sign-ins (no extra tool needed).
- Break reminder (off by default) nudges you to step away after long stretches.
Work across projects
- Per-project pets: assign a companion to a project folder, and that project's XP goes to it.
- Split pet: configured projects get their own on-screen pet; everything else shares your main one.
- Usage dashboard: see exactly where your tokens go, per project and per agent, day by day and month by month (see below).
Share and sync (all optional)
- Web profile & leaderboard: sign in with GitHub to show your companions at agentpet.thenightwatcher.online and climb the community leaderboard by level, sessions, or tokens.
- Cross-device restore: sign in on a second machine (or after a fresh install) and your pets come back at the level you raised them. Progress merges forward only, so it is never undone on either machine.
- Community pet gallery: browse thousands of pets, adopt one in a click, submit your own, and request new ones.
AgentPet runs completely offline. Connecting only adds the web profile, leaderboard and cross-device sync , nothing leaves your machine until you sign in.
Install
Build from source (macOS)
git clone https://github.com/ntd4996/agentpet.git
cd agentpet
./scripts/build-app.sh release
open build/AgentPet.appRequires Xcode 16 / Swift 6. The Windows app lives under windows/ (Tauri + Rust).
Getting started
- Launch AgentPet , it lives in the menu bar.
- Open Settings → General and click Install next to Claude Code (or your agent), then Enable notifications.
- Run an agent. The pet reacts, and the menu-bar icon shows who is working or waiting.
- (Optional) Open Settings → Care → Sign in with GitHub to sync your companions and unlock the web profile, leaderboard and cross-device restore.
Uninstall
- In Settings → General, click Remove next to each connected agent (this strips AgentPet's hooks so the agents don't error after the app is gone).
- Remove the app and its data:
brew uninstall --cask agentpet # or drag /Applications/AgentPet.app to Trash
rm -rf ~/.agentpet # downloaded pets + local state
rm -f ~/Library/Preferences/com.agentpet.app.plistUsage dashboard
Sign in and open the Usage dashboard (in your profile menu on the website) to see where your tokens actually go:
- By project and by agent, so you can tell which repo and which model is burning the most.
- Daily and monthly views, with a chart and per-project / per-agent breakdowns.
- Only the last folder name of each project is ever sent, never the full path, and nothing is logged until you connect.
Admins get a community-wide view plus a per-user drill-down.
Screenshots
Right-click the pet for a game-style HUD , level, XP, hunger, a 7-day burn chart and your live Claude/Codex limits.
 Menu-bar monitor , every agent at a glance |
 Care tab , raise your pet with real work |
 Native, tabbed Settings |
 The desktop pet |
- 构建多智能体协作系统的 Agent 开发者
- Agent 任务先做 dry-run 验证工具调用链，再开启自主执行
- API key 直接提交到 git 仓库（请用 .env 并加入 .gitignore）
- CLI：直接 npm install -g / pip install，命令行调用
- 云端托管：可放在 Vercel / Railway / Fly.io 等 PaaS 平台
⚡ 核心功能
- 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
- 构建多智能体协作系统的 Agent 开发者
- Agent 任务先做 dry-run 验证工具调用链，再开启自主执行
- API key 直接提交到 git 仓库（请用 .env 并加入 .gitignore）
👥 适合人群
🎯 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
⚖️ 优点与不足
- +MIT 协议，可免费商用
- +大幅减少重复性人工操作
- +可视化流程，清晰直观
- +可扩展性强，支持复杂场景
- −初始配置和调试需投入一定时间
- −强依赖外部服务的稳定性
- −复杂场景需具备一定技术基础
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。
🔗 相关工具推荐
❓ 常见问题 FAQ
经综合评估，AI工作流伴侣 在Agent工作流赛道中表现稳健，质量优秀。如果你已有明确的使用需求，可以直接上手体验；如果还在评估阶段，建议对比同类工具后再做决策。
| 原始名称 | agentpet |
| 原始描述 | 开源AI工作流：A native macOS menu bar app with a desktop pet that monitors your AI coding agen。⭐94 · Swift |
| Topics | ai-agentsdesktop-petdeveloper-tools |
| GitHub | https://github.com/ntd4996/agentpet |
| License | MIT |
| 语言 | Swift |
收录时间：2026-06-06 · 更新时间：2026-06-06 · License：MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。