ScaleMAS aims to help AI-agent swarms coordinate on complex reasoning tasks
The ScaleMAS announcement says agents publish findings in a shared database and link to work they build on.
TLDR
The post introducing ScaleMAS describes a system inspired by the web and Google Search. Agents publish findings in a shared database and link to work they build on. Search combines relevance with PageRank-inspired citation signals to help agents discover one another’s work, while keeping the number of messages returned per search bounded as the swarm grows.
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