Silo-Bench: A Scalable Environment for Evaluating Distributed Coordination in Multi-Agent LLM Systems

Researchers introduce Silo-Bench, a benchmark revealing that multi-agent LLM systems can exchange information effectively but fail to integrate distributed data for correct reasoning. The study shows coordination overhead increases with scale, challenging the assumption that adding more agents can solve context limitations.