GEAR enables researchers to build RSI algorithms modularly, much like using Scikit-learn. It organizes the algorithmic modules required for sampling, candidate evaluation, and diversity management together with evaluation infrastructure such as parallel inference, enabling RSI algorithms to be rapidly assembled, compared, and reused. Experimental results based on improvements to the GEPA (Genetic-Pareto) algorithm show that GEAR-tuned agents achieve signif