by dongxinsuperman · AI Tool · ★ 68
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ai-phone 面向中小型公司的三端真机 AI 自动化中台 —— iOS / Android / HarmonyOS 同级原生支持，自然语言驱动的纯视觉决策，开箱即用的调度队列与多设备并发，执行器可插拔，一台 Mac 即可起完整链路。新 Mac 从 0 到 1 的完整部署见 deployment-from-zero（从0到1部署指南）。 产品形态：ai-phone 不是一个执行器 SDK，而是把"投递批次 → 设备池调度 → 自然语言执行 → 终态广播 + HTML 报告 + 大盘统计"做成 QA 团队 / 业务回归大盘开箱即用的中台能力。执行器是其中一个可替换组件：默认内置自研的 VLM 纯视觉决策循环，并在外层包了页面稳定、卡死检测、审判、断言、状态路标、瞬态 UI 处理等执行安全层；也可挂载第三方执行器作为额外引擎选项。 产品边界与出发点：ai-phone 不是孤立的“点手机工具”，也不是测试平台本身，而是 AI 测试链路里的真机执行层。上游可以由 Cursor、CI、内部平台或 AI 助手生成可消费测试 case，下游由 ai-phone 把这些自然语言 case 投递到真实 iOS / Android / HarmonyOS 设备上执行，并回传截图、日志、报告和终态结果。详细说明见 product-boundaries（产品边界）。 看一眼实际样子 按"调度 → 调试 → 决策护城河 → 产出 → 观测"5 个节点串起来看： 1. 调度队列 —— 三端独立 FIFO + 正在执行 + 最近批次状态一栏拉通，外部投递的 Submission 实时分发到设备池： 2. 单设备调试 —— 浏览器即客户端：左实时画面（scrcpy / WDA / hypium 三端原生推流）、右自然语言 Goal 输入 + 步骤日志面板，回写通道与 VLM 共用，业务测试同学零安装、零配置： 3. 辅助系统护城河 —— ai-phone 不是把截图直接交给 VLM 赌下一步，而是在执行外层加了一套可监督的安全层：页面稳定后再决策，本地 pHash 捕捉同坐标 / 同屏 / 滑动震荡，异常自动召唤审判系统
| Stars | 68 |
| Forks | 17 |
| Language | Python |
| Category | AI Tool |
| License | MIT |
| Quality Score | 54.9713875372186/100 |
| Open Issues | 8 |
| Last Updated | 2026-08-07 |
| Created | 2026-04-28 |
| Platforms | browser, python |
| Est. Tokens | ~16k |
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ai-phone is iOS / Android / HarmonyOS 三端真机 + 三端虚拟机 AI 自动化中台 · 自然语言驱动纯视觉执行，开箱即用的设备调度、多设备并发与报告回传. It is categorized as a AI Tool with 68 GitHub stars.
ai-phone is primarily written in Python. It covers topics such as ai-automation, android, harmonyos.
You can find installation instructions and usage details in the ai-phone GitHub repository at github.com/dongxinsuperman/ai-phone. The project has 68 stars and 17 forks, indicating an active community.
ai-phone is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ai-phone on Agent Skills Hub include android-agent, native-devtools-mcp, AppClaw. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.