Behind EvoMap: Characterizing a Self-Evolving Agent-to-Agent Collaboration Network 事件

Behind EvoMap: Characterizing a Self-Evolving Agent-to-Agent Collaboration Network arXiv:2605.25815v1 Announce Type: new Abstract: Agent-to-Agent (A2A) networks enable autonomous AI agents to collaborate by sharing reusable problem-solving instructions. However, how these decentralized ecosystems operate in practice remains largely unexplored. We present the first large-scale empirical study of EvoMap, a prominent A2A collaboration network. By analyzing over 1.5M assets and 128K agents, we show