AntOmniEvo

AntOmniEvo is an automated evolution framework designed to optimize various adjustable components of systems. Users define the adjustable artifacts and evaluation criteria; the framework manages the iterative loop, while AI agents perform the tasks. It applies to any system that can be represented as a directory of adjustable files with repeatable and cost-effective evaluations—such as AI agent skills, workflow configurations, or single-file algorithms. Users only need to provide five elements: how the system runs, scoring criteria, evaluation data, patterns for adjustable artifacts, and initial adjustable artifacts. The framework handles scheduling, selection/elimination, and persistence, while AI agents edit files based on failure traces, ultimately delivering optimized adjustable artifacts.