Evolutionary Algorithms GitHub Repositories (2026) · Open Source Tools

An auto-evolution framework that optimizes anything — your 7×24 team of algorithm engineers.

The first open-source AI-driven tool for automatically generating system-level test cases (also known as fuzzing) for web/enterprise applications. Currently targeting whitebox and blackbox testing of Web APIs, like REST, GraphQL and RPC (e.g., gRPC and Thrift).

Open-source implementation of AlphaEvolve

A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

Automated modeling and machine learning framework FEDOT

EvoRL is a fully GPU-accelerated framework for Evolutionary Reinforcement Learning, implemented with JAX. It supports Reinforcement Learning (RL), Evolutionary Computation (EC), Evolution-guided Reinforcement Learning (ERL), AutoRL, and seamless integration with GPU-optimized simulation environments.

The Watchmaker Framework for Evolutionary Computation

Gradient descent, but the parameters are agents — a parallel, asynchronous framework for self-evolving agents (skills, prompts, harnesses). Diffs are the gradients; the aggregator is the optimizer.