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AI agents are becoming an interaction layer for personal computing: users delegate goals, while agents invoke tools, operate apps, retrieve information, and coordinate workflows. Existing mobile operating systems are app-centric. They organize UI, lifecycle, storage, permissions, and composition around applications, but offer little native support for agents that must cross apps, APIs, files, events, and sensitive data. The result is inefficient interaction, brittle execution, and weak information-flow control. We present AOHP, the Android Open Harness Project, an agent-native open fork of Android for agent-mediated personal computing. AOHP supports personalized service composition across apps and services, efficient agent interfaces through parallel background interaction and structured observations, and secure information flow through vault-backed sensitive data handling and system-level taint tracking. We describe the architecture and preliminary results comparing AOHP with stock Android on task automation, execution cost, and security policy compliance.
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