TopoClaw: A Human-Centric and Topology-Aware Agent Operating System
Heyuan Huang, Yeyi Guan, Jihong Wang, Mingzhi Wang, Jiamu Zhou, Xiangmou Qu, Jiaxin Yin, Xin Liao, Xingyu Lou, Jun Wang

TL;DR
TopoClaw introduces a human-centric, topology-aware Agent Operating System that manages distributed device actions, social identities, and authority governance to enable accountable, collaborative autonomy across physical and social boundaries.
Contribution
It presents a novel OS design modeling physical and social topologies, enabling cross-device actions, identity attribution, and authority governance for autonomous, collaborative workflows.
Findings
Decouples intent from actuation for distributed device control
Treats agents as socially situated Digital Twins with role-aware permissions
Implements distributed policy enforcement across trust boundaries
Abstract
Large language models (LLMs) have evolved AI assistants into autonomous reasoning engines that maintain context, invoke tools, and pursue long-horizon tasks. This has spurred Agent Operating Systems (Agent OS) as kernel-like layers for lifecycle management, memory, scheduling, and access control. Yet most designs remain agent-centric, treating the OS as a single-host runtime for internal reasoning and tool use, leaving open how autonomous actions integrate with distributed, collaborative, permission-sensitive workflows. TopoClaw is an open-source, human-centric, topology-aware Agent OS modeling the user's ecosystem as two coupled structures: a physical device topology of heterogeneous surfaces and a social relationship topology of shared spaces, teams, and delegated roles. It unifies device operation, messaging, and skills around accountable cross-boundary execution, with three core…
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