SearchOS-V1: Multi-Agent Framework for Robust Open-Domain Information Seeking
SearchOS-V1 is a multi-agent framework designed to improve open-domain information-seeking by externalizing search progress into an explicit, persistent, and shared state. The system introduces Search-Oriented Context Management (SOCM) and a pipeline-parallel scheduling mechanism, which together help prevent repetitive search loops and improve agent collaboration. SearchOS-V1 achieves state-of-the-art results on the WideSearch and GISA benchmarks, outperforming existing single- and multi-agent baselines.
Why it matters: By making search progress explicit and shared, SearchOS-V1 addresses a key limitation of current AI agents—repetitive search loops—potentially increasing the reliability and efficiency of autonomous information-seeking systems.
Full story at: arXiv Information Retrieval ↗