openevolve

Open-source implementation of AlphaEvolve

OpenAlpha_Evolve is an open-source Python framework inspired by the groundbreaking research on autonomous coding agents like DeepMind's AlphaEvolve.

A next-generation automatic algorithm design platform, making automated algorithm design more accessible and easier to use

[ICML'26] Towards Feedback-to-Plan Decisions for Self-Evolving LLM Agents in CUDA Kernel Generation

Executable benchmark for AI-driven potential discovery for the k-server conjecture, with evaluators, metric instances, and released experiment workflows.

AI4Math skills for search-based experiments, OpenEvolve workflows, and iterative program improvement.

Correctness oracle for AI code-optimization loops: catches reward hacks with canonical, metamorphic, withheld-input, and timing checks.

Genetics for Algorithm Discovery. Evolve ideas, not programs: every LLM idea becomes a named switch, and knockouts measure what each is worth. New lower bounds at 17 sizes of Tao et al.'s problem 60. Built at the London AI x Science Hackathon 2026.

Codex Skill and platform-neutral research CLI for reproducible, auditable OpenEvolve algorithm discovery with holdouts, ablations, budgets, and novelty audits.

Evaluation-first AI case study for evolving retry/backoff policies with local LLMs, strict QA gates, and holdout validation.

Research knowledge base and architecture for large-scale open-world speaker discovery, VoiceEvolve and OpenEvolve. Ukrainian documentation and detailed technical audit.

Using Levi to optimize randomize algorithms for set membership and tasks in similar vein

Reproducing AlphaEvolve's SOTA bound on the Erdős minimum-overlap problem with an evolutionary LLM pipeline (OpenEvolve) — converges in ~10 iterations, two independent backends, one-command verifier

NoemaEvolve extends LLM evolutionary program search with RL based reflection and a ReAct style coordination

Ouroboros-Quant 衔尾蛇: Recursive self-improvement agent for quant research — OpenEvolve evolves signal/factor code, EvoAgentX evolves the researcher. 自进化量化研究流水线(数据→信号→检验→组合→归因)

A general optimisation/search substrate: a pure hexagonal core + pluggable search strategies + pluggable compute backends.

A production fork of OpenEvolve: the engine byte-identical to upstream, plus a real-time control plane, a provider broker with role-based routing, and an isolated agent sandbox.