Graph Engineering Isn’t About More Connections — It’s About Which Ones Get Used
Provides evidence-based guidance for designing efficient multi-agent systems by focusing on actual edge utilization rather than connectivity density.
AI Summary
Research shows that adding more communication pathways between AI agents doesn't improve performance - networks use fewer edges as density increases, challenging assumptions about multi-agent system design.
Excerpt
Adding more communication pathways between agents doesn’t necessarily improve multi-agent performance. In a controlled, reproducible experiment across 50 runs, recovery remained remarkably stable from 20% to 100% relationship density. But as the network became denser, the fraction of edges actually used fell sharply—revealing a gap between configured connectivity and behavioral connectivity. The post Graph Engineering Isn’t About More Connections — It’s About Which Ones Get Used appeared first o