You can now build frontier-level search agents without proprietary data—OpenSeeker proves that smart data synthesis (not scale) is the bottleneck, and releases everything needed to replicate it.
OpenSeeker is a fully open-source search agent that achieves state-of-the-art performance by synthesizing high-quality training data through two techniques: generating complex multi-hop reasoning tasks by reverse-engineering web graphs, and denoising agent trajectories using summarization.