By externalizing search progress as persistent, shared state and scheduling agents to target coverage gaps rather than repeating failed searches, SearchOS dramatically improves how well multi-agent systems can complete complex information-seeking tasks.
SearchOS is a multi-agent framework that helps AI systems search the web more effectively by tracking what they've already found, what they still need to find, and what searches have failed.