AI RESEARCH
From Skills to Talent: Organising Heterogeneous Agents as a Real-World Company
arXiv CS.AI
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ArXi:2604.22446v1 Announce Type: new Individual agent capabilities have advanced rapidly through modular skills and tool integrations, yet multi-agent systems remain constrained by fixed team structures, tightly coupled coordination logic, and session-bound learning. We argue that this reflects a deeper absence: a principled organisational layer that governs how a workforce of agents is assembled, governed, and improved over time, decoupled from what individual agents know. To fill this gap, we.