SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration
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Observed public metrics from 1 member.
Merged summary
TL;DR - SearchOS-V1 is a multi-agent framework for open-domain information seeking that makes search progress explicit, persistent, and shared to prevent agents from getting stuck in repetitive, budget-wasting loops. It matters because it targets a core failure mode of tool-integrated LLM search agents: losing track of task progress as interaction histories grow.
- Reframes open-domain information seeking as relational schema completion with grounded citations—agents discover entities, fill attributes across linked tables, and anchor each value to source evidence.
- Introduces Search-Oriented Context Management (SOCM) that externalizes evolving state into four structures: a Frontier Task, an Evidence Graph, a Coverage Map, and Failure Memory.
- Uses pipeline-parallel scheduling to overlap sub-agent execution and continuously refill freed slots with tasks targeting unresolved coverage gaps, improving utilization/throughput.
- Adds a Search Tool Middleware Harness that intercepts model/tool interactions to record evidence, react to stalls or budget exhaustion, and reuse hierarchical strategy/access skills; reportedly leads all metrics over single- and multi-agent baselines on WideSearch and GISA (specific numbers not provided).
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SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration
TL;DR - SearchOS-V1 is a multi-agent framework for open-domain information seeking that makes search progress explicit, persistent, and shared to prevent agents from getting stuck in repetitive, budget-wasting loops. It matters because it targets a core failure mode of tool-integrated LLM search agents: losing track of task progress as interaction histories grow.
- Reframes open-domain information seeking as relational schema completion with grounded citations—agents discover entities, fill attributes across linked tables, and anchor each value to source evidence.
- Introduces Search-Oriented Context Management (SOCM) that externalizes evolving state into four structures: a Frontier Task, an Evidence Graph, a Coverage Map, and Failure Memory.
- Uses pipeline-parallel scheduling to overlap sub-agent execution and continuously refill freed slots with tasks targeting unresolved coverage gaps, improving utilization/throughput.
- Adds a Search Tool Middleware Harness that intercepts model/tool interactions to record evidence, react to stalls or budget exhaustion, and reuse hierarchical strategy/access skills; reportedly leads all metrics over single- and multi-agent baselines on WideSearch and GISA (specific numbers not provided).