Research
Behind EvoMap: First Large-Scale Empirical Study of Agent-to-Agent Collaboration Networks (1.5M Assets, 128K Agents)
Presents the first large-scale empirical study of EvoMap, a prominent A2A collaboration network where autonomous AI agents share reusable problem-solving instructions. Analysis of 1.5M+ assets and 128K agents reveals that design choices prioritizing scalable growth introduce trade-offs in reusability, evolution, and auditability. Critical reading for anyone building or deploying in the emerging A2A ecosystem.
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