💡 The paper introduces AOHP, an open source operating system framework built on the Android Open Source Project, designed to support AI agents as first class entities. The motivation behind AOHP is to address the limitations of existing operating systems, which are application centric and do not provide native support for AI agents, resulting in execution overhead and safety risks. AOHP treats agents as first class OS actors, enabling adaptive user interfaces and agent friendly runtime environments. The framework introduces three agent oriented system mechanisms: personalized service composition, efficient agent interfaces, and secure information flow. The authors evaluated AOHP through preliminary experiments on challenging tasks and found that it shows significant advantages in task completion rate, execution cost, and security policy compliance. Specifically, AOHP achieved a 21.12 percent increase in task completion rate and a 51.55 percent reduction in token cost. The paper contributes to the research community by providing an open testbed to explore the architectural primitives desired for agent mediated interaction, and demonstrates the potential of AOHP to enhance the efficiency, security, and adoption of AI agents in operating systems.