New framework lets AI agents rewrite their own skills without retraining the underlying model

One major challenge in deploying autonomous agents is building systems that can adapt to changes in their environments without the need to retrain the underlying large language models (LLMs).Memento-Skills, a new framework developed by researchers at multiple universities, addresses this bottleneck by giving agents the ability to develop their skills by themselves. "It adds its continual learning capability to the existing offering in the current market, such as OpenClaw and Claude Code,&qu