Stanford's DeLM cuts multi-agent task costs 50% — without a central orchestrator

Stanford's DeLM lets AI agents coordinate without a central controller, cutting multi-agent inference costs 50% and beating SWE-bench baselines by 10.5%.

Published: 2026-06-16