Coherence Without Convergence: A New Protocol for Multi-Agent AI

Opening For the past year, most progress in multi-agent AI has followed a familiar pattern: Add agents. Add coordination. Watch performance improve. But underneath that success is a structural tradeoff that rarely gets named. The tightly agents coordinate, the they begin to collapse into a single system. The group gets stronger. It also gets narrower. Recent research has shown that coordination can be measured - that groups of models can exhibit non-reducible structure, something beyond the sum of their parts.