Mobile Harness: Control Skills for AI Agents on Android and iOS

Repositorydroidrun/mobile-harnessTool

Mobile Harness provides portable operating instructions and interfaces enabling AI agents to control Android and iOS devices locally or in the cloud. Rather than acting as a standalone agent runtime, it functions as a compact Markdown harness powered by the mobilerun_core Python library.

Key points

  1. Platform coverage: Controls Android via local ADB, HTTP portals, or cloud instances, and iOS via HTTP (ios-portal) or cloud backends.
  2. Architecture: Serves as an operating harness for agents, routing device actions through the mobilerun-core Python library.
  3. Setup methods: Distributable as an agent skill via npx skills add droidrun/mobile-harness or manually installed into a Python 3.11–3.13 virtual environment.
  4. Core capabilities: Provides unified methods for inspecting UI accessibility trees (find_nodes), capturing screenshots, launching apps, and executing JavaScript in Chrome tabs on cloud devices.

Why it matters

AI coding and automation agents have largely focused on desktop and browser environments. Mobile Harness provides a structured abstraction layer that allows autonomous agents to interact reliably with physical and cloud-hosted mobile operating systems.

Analysis

The project addresses the fragmentation involved in mobile UI automation for AI agents. By combining plain Markdown skill instructions with a Python control library, it lowers the barrier to letting LLMs inspect and drive mobile apps. It targets developers building autonomous mobile agents and automated QA workflows. With roughly 340 GitHub stars, an MIT licence, and clearly scoped backends, it represents a lightweight, practical foundation for mobile device orchestration.

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Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

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