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Clarus transforms the landscape of scientific collaboration by enabling autonomous agents to work together in a structured, traceable, and resource-aware manner.
Skill organization can dramatically enhance agent performance, with a 4.1% increase in successful outcomes when using Progressive Disclosure over traditional methods.
Synergy's architecture lets agents evolve through experience by proactively recalling rewarded trajectories, hinting at a new way to build agents that learn and adapt in open, collaborative environments.