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DarwinX: Evolving Agent Harnesses Through Natural Selection

72 upvotes · 31 JUL 2026 · Yifan Zhang, Yutong Dai, Juntao Tan et al.

This paper introduces DarwinX, a method for evolving agent capabilities through natural selection, which improves the agent's overall performance on various benchmarks without relying on task-specific patches. Practitioners might care about this approach as it allows for the creation of more general and durable agents that can adapt to changing environments.

continual learningagent evolutionnatural selectionmodel preservationbenchmark verification