Google's WikiSkill gives AI agents a persistent memory of past mistakes to sharpen future performance

Researchers have introduced WikiSkill, a method that allows AI agents to convert individual task experiences into reusable knowledge modules. This approach enables agents to independently refine their capabilities over time by storing workflows for future use. By formalizing past successes into persistent resources, this system aims to help AI models adapt more effectively to new challenges without requiring manual retraining.