EP255: MUSE-Autoskill AI Agents

Title: MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and EvaluationSource: http://arxiv.org/abs/2605.27366v1Summary:This paper proposes a novel architectural framework for self-evolving agents that can autonomously create, store, and refine a library of reusable skills through a unified lifecycle management system. It introduces the concept of skill-level memory and unit-testable assets, representing a major advancement in building agents capable of continuous improvement and cross-task experience accumulation.