Brown University SwarmEvolve Cuts Multi-Agent Program Search Cost
The non-obvious point is that agent-to-agent communication can happen through KV Cache and hidden states rather than text, sidestepping the token bottleneck that dominates multi-agent compute bills. Builders of agent frameworks and teams running evolutionary code search should examine the design, since it could apply to any LLM-backed population-based search. The results use open Qwen3 models on a single GPU, making the setup reproducible without proprietary APIs.
