SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration
Recent advances in Tool-Integrated Large Language Models have made web search a core capability of information-seeking agents. However, as interaction histories grow, agents increasingly struggle to track task progress. When search attempts fail to yield useful evidence, current single- and multi-agent systems can become trapped in repetitive loops, wasting search budgets and ultimately compromising the quality and completeness of the final output. We introduce SearchOS, a system-level multi-age
Record details
Published: 16 July 2026
Source: arXiv cs.AI
Category: Research
Topics: Agents & autonomy
Retrieved: 18 July 2026
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ethics.ai (16 July 2026), “SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration,” evidence record 11589, https://ethics.ai/record/11589 (originally published by arXiv cs.AI).
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