EvoLib: Turning experience into evolving knowledge

EvoLib is a framework that enables large language models to learn from their own inference experiences by converting past attempts into reusable, evolving knowledge without needing model updates. It refines skills and insights over time to improve future task performance and works with black-box AI systems accessed via APIs.