arXiv: cs.AI preprintsInternational6 November 2026
Evolver: Turning Agent Exploration into Evolving Capabilities
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arXiv:2611.07595v1 Announce Type: cross Abstract: Agent exploration produces valuable procedural knowledge, yet much of this experience remains confined to transient execution traces and is not systematically reused. We introduce Evolver, an experience-driven framework that transforms agent exploration into persistent, reusable capabilities without updating foundation model parameters. Built around structured Gene assets, Evolver integrates experience acquisition, retrieval, and feedback-guided evolution to support experience-conditioned execution across existing agent harnesses. We evaluate E
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