EvolveRouter Improves Multi-Agent AI Systems Through Co-Evolution

Researchers introduced EvolveRouter, a framework that jointly optimizes AI agent quality and routing decisions for multi-agent question answering. The system uses closed-loop refinement to improve agents while adapting collaboration size per query, outperforming existing routing methods across five benchmarks while reducing computational overhead.