An auto-evolution framework that optimizes anything β your 7Γ24 team of algorithm engineers.
Symbolic Learning in Python and Julia
Open-source implementation of AlphaEvolve
The main repository for the development of the evolution game Thrive.
This revolutionary software enables EV battery packs to be easily reused for stationary storage in combination with solar inverters
Open-source autoresearch powered by autonomous coding agents. Run Claude Code, OpenCode, and Codex with grading, shared knowledge, and multi-agent evolution. Accepted at COLM 2026.
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
A next-generation automatic algorithm design platform, making automated algorithm design more accessible and easier to use
turns your codebase into an autoresearch loop β discovers what to measure, instruments the benchmark, then runs tree search with parallel subagents.
Security oriented software fuzzer. Supports evolutionary, feedback-driven fuzzing based on code coverage (SW and HW based)
Navigate the complex landscape of .NET software architecture with our step-by-step, story-like guide. Unpack the interplay between modular monoliths, microservices, domain-driven design, and various architectural patterns. Go beyond the one-size-fits-all solutions and understand how to blend these approaches based on your unique needs.
Distributed High-Performance Symbolic Regression in Julia
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).
Hillclimbing on verifiable rewards. Use Claude Code and Codex to autonomously search for python programs that optimize a score you define. ποΈ
Framework for Evolutionary Message-Driven Microservices on the JVM
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
The complete post-training stack for LLMs, plus RL for any problem. SFT, DPO and multi-turn agentic RL, with evolutionary hyperparameter optimization built in.
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
Automated modeling and machine learning framework FEDOT
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization
A research tool for the Iterated Prisoner's Dilemma
CoRT 2.0: Revolutionary Contextual Reasoning Toolkit for AI Agents 2026
Governed Evolutionary Software β Autogenous turns runtime failures into verified, portable, reversible software adaptations. AGL typed mutations, antibody packages, hard-gate promotion, automatic rollback.
The Dream Machine β a config-driven engine for nightly, cloud-scheduled, evidence-gated repository evolution. Composes @metaharness/flywheel, darwin, and redblue behind a promotion gate that never merges.
TPAMI 2026 | Symbiotic Evolutionary Learning for Task-Adaptive Infrared and Visible Image Fusion
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Wavebox, the revolutionary and feature-rich Chromium browser that's built for productive working across Google Workspaces, Microsoft Teams, ClickUp, Monday, Atlassian, Asana, AirTable, Slack, and every other web app you use to get work done.
Architecture search beyond the search space: an LLM writes architecture programs, population-based evolution decides which survive. Reference code + 171-architecture zoo for native spiking sequence models.
Gradient descent, but the parameters are agents β a parallel, asynchronous framework for self-evolving agents (skills, prompts, harnesses). Diffs are the gradients; the aggregator is the optimizer.
Evolutionary multi-agent runtime that breeds, evaluates, and improves autonomous agents across reproducible epochs to converge on optimization of a goal.
Self-driving car in plain JavaScript: a neural network evolved by a genetic algorithm drives highway traffic
Evolving Multimodal Inference Programs: LLM-guided evolutionary search for accurate and efficient vision-language inference.
A Free and Open Source Python Library for Multiobjective Optimization