The advancement of large language models has facilitated the transition from passive conversational assistants to autonomous agents capable of understanding goals, planning actions, invoking tools, and executing multi-step tasks. However, the capabilities of a single agent are constrained by its local data, tool permissions, runtime environment, and governance boundaries. This paper explores distributed general-purpose agent networks: open peer-to-peer networks where heterogeneous agents deployed on personal devices, edge nodes, or autonomous computing environments can discover each other, establish trust, negotiate cooperation rules, and execute open-ended tasks.
We argue that such networks cannot be formed merely by combining existing peer-to-peer overlays with conventional multi-agent systems. Unlike traditional P2P networks, agent networks must propagate semantic declarations regarding intentions, capabilities, states, and cooperation constraints. Therefore, we propose a layered architecture centered on a protocol adaptation layer that connects upper-level task semantics with lower-level network operations.
Based on this architecture, the paper identifies three core mechanism problems: semantic announcement propagation for collaborator discovery, verifiable identity and multi-topic reputation for cooperation governance, and semantic-gradient mechanism design for open task execution. For each problem, we present a technical route, including bodyless gossip with sequential logs, BAID-based identity binding with MG-EigenTrust reputation, and a Stackelberg-style mechanism-generation loop driven by semantic attribution feedback.
Additionally, we report prototype overhead results for BAID-style tiered verification and mechanism-level simulations of MG-EigenTrust under cross-topic disguise-collusion attacks. The resulting framework provides a system-level foundation for open, trustworthy, and scalable agent collaboration.
Blogger's Review: This paper presents cutting-edge research on distributed agent networks, proposing a layered architecture and core mechanisms that lay the groundwork for trusted agent interactions, addressing the limitations of traditional P2P networks. Its innovative technical pathways offer new perspectives and possibilities for future multi-agent systems.