• Continuous Optimization: Iteratively evolves candidate solutions, improving performance until computational limits are reached.

  • Intelligent Memory: Uses priority-based sampling with decay to avoid local optima and ensure diverse exploration of solution paths.

  • Dual Strategy: Improves high-performing solutions while actively debugging weaker ones to elevate overall system performance.

  • Production-Ready: Includes Pause and Resume capabilities for long-running workloads and integrates seamlessly into enterprise ML pipelines.

  • Graph-Structured Search: Systematically explores reasoning, code, and validation loops to generate and refine solutions.