Source record

Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2608.21918.

Pipeline notes

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

OptiMAS is a task-agnostic optimizer that automates evolution of multi-agent LLM systems. Built on a unified ReAct infrastructure with a dual-track memory, it uses textual interaction trajectories and task feedback as loss signals for end-to-end optimization. Evaluations on four benchmarks with three LLM backbones show competitive or superior accuracy versus hand-crafted and evolutionary baselines.

First concrete tool to continuously evolve LLM agent architectures end-to-end from trajectories, sustaining gains over long optimization horizons.

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