[2603.03753] Agentic Peer-to-Peer Networks: From Content Distribution to Capability and Action Sharing

[2603.03753] Agentic Peer-to-Peer Networks: From Content Distribution to Capability and Action Sharing

arXiv - AI 4 min read

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Abstract page for arXiv paper 2603.03753: Agentic Peer-to-Peer Networks: From Content Distribution to Capability and Action Sharing

Computer Science > Networking and Internet Architecture arXiv:2603.03753 (cs) [Submitted on 4 Mar 2026] Title:Agentic Peer-to-Peer Networks: From Content Distribution to Capability and Action Sharing Authors:Taotao Wang, Lizhao You, Jingwen Tong, Chonghe Zhao, Shengli Zhang View a PDF of the paper titled Agentic Peer-to-Peer Networks: From Content Distribution to Capability and Action Sharing, by Taotao Wang and 4 other authors View PDF HTML (experimental) Abstract:The ongoing shift of AI models from centralized cloud APIs to local AI agents on edge devices is enabling \textit{Client-Side Autonomous Agents (CSAAs)} -- persistent personal agents that can plan, access local context, and invoke tools on behalf of users. As these agents begin to collaborate by delegating subtasks directly between clients, they naturally form \emph{Agentic Peer-to-Peer (P2P) Networks}. Unlike classic file-sharing overlays where the exchanged object is static, hash-indexed content (e.g., files in BitTorrent), agentic overlays exchange \emph{capabilities and actions} that are heterogeneous, state-dependent, and potentially unsafe if delegated to untrusted peers. This article outlines the networking foundations needed to make such collaboration practical. We propose a plane-based reference architecture that decouples connectivity/identity, semantic discovery, and execution. Besides, we introduce signed, soft-state capability descriptors to support intent- and constraint-aware discovery. To cope wi...

Originally published on March 05, 2026. Curated by AI News.

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