Aggregation is a quantitative act of accumulating individual contributions within a system. In agentic AI, it describes a collection of agents whose combined output is a sum of their distinct efforts, with each agent retaining its individual preferences and operational logic. It is a simple accumulation rather than a qualitative transformation into a unified whole.