Source record

Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2610.34450.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

EvolveMAS is a proposed framework for decentralized language-model agents that pairs each agent with a memory agent, supports within-episode adaptation and cross-episode knowledge reuse, and evaluates the approach on five benchmarks and six configurations without updating model parameters.

The paper specifies a reusable architecture for governing agent memory and carrying interaction lessons across episodes, with benchmark results and ablations for implementation choices.

Cited by

No citations on record.