MUSE-Autoskill is a framework for self-evolving agents — agents that don’t just run a fixed toolset but build, store, and refine their own skills as they work. Its structure is three coupled pieces: skill creation, memory management, and evaluation. ## Closing the self-improvement loop Most agents are static after deployment: they fail the same way… Continue reading