# onehumanbeing/esp32-iphone-agent

> Lets an AI model drive a real iPhone via an ESP32-S3: the screen is mirrored over AirPlay while the board emulates a USB mouse and keyboard. No Mac, Xcode, Apple developer account or jailbreak required.

- Magnitude: 6.3 out of 10 — Early signal
- Stars: 378 total · +222 stars measured 2026-10-12, 14:13–17:22 UTC, ≈ 284 by evening
- Star trust: star growth looks organic
- Category: AI agents · Language: Python · License: MIT · Created: 2026-10-11 · Last push: 2026-10-12
- GitHub: https://github.com/onehumanbeing/esp32-iphone-agent · Page: https://gitnova.dev/en/r/onehumanbeing/esp32-iphone-agent

## Useful for

- Run an agent that opens apps and completes tasks on an iPhone from a text goal
- Automate routine actions in iOS apps without XCTest or WebDriverAgent
- Plug any OpenAI-compatible vision model into phone control via the web UI

## Why it’s here

- Star-counter measurements on 2026-10-12 (UTC), 14:13–17:22: 156 → 378 stars (+222). This is the change over that interval.
- Estimated end-of-day forecast: about +284 stars, using observed gains and the previous day.
- The repository is 1 day old and already has 378 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #55.
- About 167 forks a day — people are taking the code.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 43
- Issues and pull requests: 1
- Watchers: 2
- Average over the last week: 161 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 71

## Stars per day, last 2 days (oldest → newest, today is partial)

2026-10-11 … 2026-10-12: 39, 222

## Spotted in now

- Top new repositories this week: #55

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-12 17:36 UTC, updated every 30 minutes.