Eigen-1 is an adaptive multi-agent framework that leverages a monitor-based retrieval module to blend external knowledge directly into the reasoning flow. Hierarchical Solution Refinement and Quality-Aware Iterative Reasoning allow candidate solutions to repair one another instead of averaging, boosting accuracy on challenging scientific benchmarks.
On Humanity's Last Exam (bio/chem gold), Eigen-1 delivers 48.3% accuracy—13.4 points ahead of the strongest agent baseline—while cutting token usage by 53.5% and agent steps by 43.7%. The framework shows similar gains across SuperGPQA and TRQA, underscoring how implicit augmentation and structured collaboration overcome the inefficiencies of traditional tool-heavy pipelines.