AI BriefingAI Harness for Mobile App Control Released
Key point
mobile-harness has been released, enabling LLMs to control real iOS and Android devices, learn skills on their own, and automate tasks.
Details
mobile-harness is a lightweight, editable harness that enables LLMs to control real iOS and Android devices. It ports the structure of browser-use/browser-harness to the mobile environment, and uses MobAI's DSL to control agent behavior.
The core features are as follows:
- Self-learning and improvement: If the agent lacks a needed skill during execution, it writes the code itself and saves it to
agent-workspace, supporting a self-healing loop that improves performance with each run. - Python-based control: Provides various Python primitives for mobile operations, including
tap,type_text,swipe,scroll,observe, andscreenshot. - Robust debugging: When a task fails, it delivers an exception containing the UI tree and a screenshot, creating an environment where the agent can immediately fix errors without additional observation.
This tool can be used in various automation scenarios such as app store market research, multilingual localization testing, pre-release app smoke testing, competitor onboarding process analysis, and user bug reproduction.
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