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Handsy AI

An open-source agent setup that lets a vision model operate a real iPhone through screen mirroring and a low-cost ESP32-S3 board, without jailbreaking.

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Introduction

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Information

  • Websitehandsy.tech
  • Published date2026/10/21

Categories

  • Developer Tools

Tags

  • Open Source
  • AI Agents
  • Mobile App
  • Automation
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How to Use Handsy AI

Handsy AI's Core Features

Physical iPhone interaction

Use a USB-connected ESP32-S3 as a mouse and keyboard to tap, drag, hold and type on a real phone.

Screen-aware agent loop

Passes the mirrored screen to an app that uses a chosen vision model to plan and verify each step.

No jailbreak workflow

The project describes controlling a stock iPhone without jailbreaking or enabling developer mode.

Open-source implementation

The app and agent project are public; the website notes MIT licensing with a GPL-3.0 firmware component.

Handsy AI's Use Cases

1

Mobile UI testing

Explore repetitive screen flows on a test iPhone while observing each action.

2

Accessibility and automation experiments

Prototype agent interaction with physical-device interfaces and assistive controls.

3

Local model research

Experiment with a vision model and hardware-mediated mobile control on a network you manage.

FAQ from Handsy AI

Handsy AI Support & Company Information

Company
Handsy AI

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What is Handsy AI?

Handsy AI is an open-source hardware and software project for controlling a physical iPhone with an AI agent. A compatible ESP32-S3 board receives the phone’s mirrored screen over AirPlay and acts as a USB mouse and keyboard. An app on the iPhone sends screenshots to a selected vision model, plans a step and checks whether the interface changed.

The project says it works without jailbreaking. Initial setup requires flashing the board, enabling iPhone Screen Mirroring and AssistiveTouch, and connecting compatible hardware by USB. The demo supports actions such as tapping, holding, dragging and typing.

This is an experimental system that interacts with a real device. Use it only on devices and accounts you control, and supervise actions that could send messages, change settings or make purchases. The project site identifies the main project as MIT licensed and the firmware AirPlay receiver as GPL-3.0.

  1. Review the project documentation and obtain a compatible ESP32-S3 board with native USB and PSRAM.
  2. Flash the firmware once using a computer and connect the board to a compatible iPhone.
  3. Enable the required Screen Mirroring and AssistiveTouch settings, then install/build the companion app following the official instructions.
  4. Choose a vision model and give the agent a bounded task; observe the screen and stop the run if it takes an unexpected action.
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