AIBullisharXiv – CS AI · 15h ago7/10
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MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and Evaluation
Researchers propose MUSE-Autoskill, a framework enabling LLM agents to autonomously create, store, and refine reusable skills throughout their operational lifecycle. The system treats skills as long-lived, testable assets with integrated memory and evaluation mechanisms, demonstrating improved task success rates and cross-agent knowledge transfer on benchmark tests.