Control Android devices with an on-device AI agent using PokeClaw
Run an on-device Android control loop that inspects screens and performs app actions locally for mobile automation and testing workflows.
What it does
Control Android devices with an on-device AI agent using PokeClaw
Run an on-device Android control loop that inspects screens and performs app actions locally for mobile automation and testing workflows.
Prerequisites
PokeClaw; Android device or emulator; project-documented runtime dependencies
Installation
Requirements and caveats from upstream:
- DroidRun/Mobilerun local/open-source runs the agent loop in a Python CLI/container on a host machine and talks to a Portal APK through ADB/port forwarding. The Portal APK uses Android Accessibility for tree/gesture/sc...
- minitap/mobile-use, Mobile-Agent, AppAgent, and AppAgentX are external SDK/research harnesses that normally require Python plus ADB, UIAutomator, screenshots, Docker, cloud phones, or host-side model/API services.
- does not require a computer to be connected while tasks run
Basic usage or getting-started notes:
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It can run Gemma 4 on-device for local, private phone control, and it also supports optional cloud models when you want stronger reasoning for harder tasks.
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task state leaks into the next run
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model download, storage, or LiteRT startup fails before the model can run
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Extracted from upstream docs: https://raw.githubusercontent.com/agents-io/PokeClaw/HEAD/README.md
Documentation
Source
Capabilities
Install
Quality
deterministic score 0.45 from registry signals: · indexed on github topic:agent-skills · 8 github stars · SKILL.md body (1,524 chars)