AI RESEARCH
Agent Primitives: Reusable Latent Building Blocks for Multi-Agent Systems
arXiv CS.AI
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ArXi:2602.03695v2 Announce Type: replace-cross While existing multi-agent systems (MAS) can handle complex problems by enabling collaboration among multiple agents, they are often highly task-specific, relying on manually crafted agent roles and interaction prompts, which leads to increased architectural complexity and limited reusability across tasks. Moreover, most MAS communicate primarily through natural language, making them vulnerable to error accumulation and instability in long-context, multi-stage interactions within internal agent histories.