ShinkaEvolve is an innovative evolutionary code optimization framework that utilizes large language models (LLMs) to discover new algorithms with unprecedented sample efficiency. It has achieved state-of-the-art solutions in various domains, including Circle Packing and agent design, by significantly reducing the number of samples needed for effective program evolution. The framework is open-sourced to empower researchers and engineers in their scientific discoveries and development efforts.

OpenAlpha_Evolve is an open-source Python framework designed for autonomous coding using Large Language Models (LLMs), inspired by DeepMind's AlphaEvolve. It facilitates an evolutionary process where users define algorithmic tasks, and an intelligent system iteratively generates, tests, and refines code, aiming for increasingly sophisticated solutions.