AI代理有了专属操作系统：效率翻倍，安全可控
你的手机系统是为人类手指设计的，AI代理用起来就像穿着西装游泳。这篇论文直接给Android系统加了一层“代理专属通道”：让AI能像原生应用一样调用服务、管理权限，而不是像现在这样靠模拟点击或读屏幕。结果很硬：任务完成率提升21%，token成本砍半，安全违规几乎归零。它不是你明天就能装上的ROM，但指向一个趋势——未来的操作系统可能不再只是给人用，而是给AI和人一起用。
📄 原文摘要(英文)
AI agents are 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 for AI 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 of agent-native operating systems is 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 the Android 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, and secure information flow. Based on preliminary experiments on challenging tasks covering key capabilities of OS agents, AOHP shows clear advantages in task completion (+21.12% completion rate), execution cost (-51.55% token cost), and security-policy compliance.