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University of Science and Technology of China
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EvolveNet reveals that decentralized evolution of agent harnesses can lead to substantial performance gains by leveraging localized experience rather than relying on centralized optimization.
Harnesses can evolve in real-time during evaluation, leading to significant performance gains without retraining the underlying model.
Forget prompt engineering: MOSS lets autonomous agents rewrite their own source code to fix bugs and improve performance in production.
