Paper page - AOHP: An Open-Source OS-Level Agent Harness for Personalized, Efficient and Secure Interaction

Source: https://huggingface.co/papers/2606.23449 Authors:

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Abstract

AOHP presents an Android-based operating system framework that treats AI agents as first-class entities, enhancing task completion rates and reducing execution costs through specialized agent-oriented mechanisms.

AI agentsare driving a new software paradigm, with the ability to autonomously call tools, extract information, manage memory, and complete tasks that span applications and data sources. Most existing end-user operating systems, however, are designed for application-centric workflows and offer little native support forAI agents. This mismatch limits the wider adoption of agents and leads to execution overhead and safety risks when running agents on conventional systems. While the concept ofagent-native operating systemsis emerging, the research community lacks an open testbed to explore the architectural primitives desired for agent-mediated interaction. We present AOHP (Android Open Harness Project), an OS-level agent harness built on theAndroid Open Source Project(AOSP). The core design principle of AOHP is to treat agents as first-class OS actors, enabling adaptive user interfaces and agent-friendly runtime environments. AOHP preserves the mature Android software and hardware ecosystem while introducing three agent-oriented system mechanisms:personalized service composition,efficient agent interfaces, andsecure information flow. Based on preliminary experiments on challenging tasks covering key capabilities of OS agents, AOHP shows clear advantages intask completion(+21.12% completion rate),execution cost(-51.55%token cost), andsecurity-policy compliance.

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