Symbolic Learning in Python and Julia
EvoSCM: Scientific Belief Revision Through Causal Model Evolution and Experimentation
Agent OS: the agent gets smarter on its own. We just hold the line: Interview-gated, staged evaluation, budgeted evolution loop. MCP server, 14 runtimes: Claude Code, Codex CLI, Gemini CLI, OpenCode, Copilot, Kiro and more.
A next-generation automatic algorithm design platform, making automated algorithm design more accessible and easier to use
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
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.
LLM-authored task-specific Jev harnesses with optional full-trajectory reward reflection and GEPA evolution.
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.
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Open-source implementation of AlphaEvolve
ShinkaEvolve: Towards Open-Ended and Sample-Efficient Program Evolution 🧬
An auto-evolution framework that optimizes anything — your 7×24 team of algorithm engineers.
Simple python script to download Bandcamp albums
ENPIRE is an agentic framework that allows AI coding agents to autonomously self-improve real-world robot policies through closed-loop physical trial, error, and evolution
RISE: Red-teaming via Iterative Strategy Evolution (NeurIPS 2026)
Durable, traceable project memory for AI coding agents. An evolution of Karpathy's LLM Wiki pattern built for codebases.
An Adversarial Co-Evolution Framework for LLM Agent Safety
PhyAgentOS is a Recursive Self-Improving (RSI) physical agent operating system that enables agents to recursively self-improve through agentic workflows.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
turns your codebase into an autoresearch loop — discovers what to measure, instruments the benchmark, then runs tree search with parallel subagents.
Decision audit trail + persistent memory for AI trading agents. Outcome-weighted recall, tamper-evident SHA-256 chain with RFC 3161 anchoring, 20 MCP tools.
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
Taranis AI is an advanced Open-Source Intelligence (OSINT) tool, leveraging Artificial Intelligence to revolutionize information gathering and situational analysis.
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
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.
A research tool for the Iterated Prisoner's Dilemma
Evolution Strategies in JAX 🦎
Manipulating Python Programs
Automated modeling and machine learning framework FEDOT
Official Codebase for "Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights" (ICML 2026 Spotlight)
Real-time anomaly detection for time series metrics. 11 years of production anomaly detection evolution. Multi-algorithm ensembles. Pattern recognition using semi-supervised and unsupervised learning. Correlation analysis. Learns and gets better over time. No GPU required, can run on a VPS.
Framework for evolving code and prompts inspired by Darwinian evolution
Python library for CMA Evolution Strategy.
Evolving Multimodal Inference Programs: LLM-guided evolutionary search for accurate and efficient vision-language inference.
WikiSkill (arXiv:2608.27454) for Hermes Agent — self-evolving agent skills via a persistent knowledge wiki. Faithful Algorithm 1 implementation with real agent runs, isolated skill gating, and a documented live run log.
Evolutionary multi-agent runtime that breeds, evaluates, and improves autonomous agents across reproducible epochs to converge on optimization of a goal.
Recursive Experiential–Working Memory Evolution for Long-Horizon Agent Harnesses
Robot-agent harness with a CLI and local Web console for LIBERO short evaluation
Self-evolution for any agent harness. Plug in. Evolve. Measure.
Lobster0 — a self-hosted OpenClaw-inspired AI agent with persistent memory, governed autonomy, and self-evolution. 受 OpenClaw 启发的自托管 AI Agent「Lobster0」,具备持久记忆、受控自治与自我进化能力
A multi-agent campus social simulation built with LangGraph, featuring memory, RAG, personality evolution, and durable execution.
Whetstones Lab: measuring coevolution between adaptive malware and behavioral defense. De-weaponized research release — genomes, evolution rounds, telemetry, training harness (stubbed primitives), and lab range tooling. Payloads, real primitives, and C2 infrastructure intentionally withheld. Research and defensive use only.
:dog: Beagle is designed to be the unified platform for the broader Recursive Self-Improvement (RSI) ecosystem. Think of it as Hugging Face Trainer for agent evolution. Its efficient rollout engine enables evaluation and evolution at scale across different agents, datasets, benchmarks, and evolution methods.
JLens Evolve v3: evidence-centric evolution platform (autonomous Teacher + local Qwen + official SWE-bench native evaluation). Branch codex/v3-evolution-10000 carries transport resilience, Router-key normalization, per-round temperature beam, and baseline fail-soft.
Official implementation for paper "Fourier is Frontier: Frequency-Aware Autoencoding for High-Fidelity Music Reconstruction". We treat is as a new decoder for Music Reconstruction.
AI skill for typed, auditable workflow graphs, conditional routing, evidence-gated evolution, and validation. Includes full source, examples, and tests.
SceneMosaic: Efficient and Diverse Simulation-Ready Scene Generation via Hybrid Agentic Layout Evolution
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.
[Neurips 2026] State Evolution Awareness for Category-agnostic 3D Point Cloud Tracking
Agent-native embedded systems lab for pluggable simulation, evidence-driven validation, and controlled evolution.
Hillclimbing on verifiable rewards. Use Claude Code and Codex to autonomously search for python programs that optimize a score you define. 🏔️
TPAMI 2026 | Symbiotic Evolutionary Learning for Task-Adaptive Infrared and Visible Image Fusion
[Arxiv] Video-RSI: Recursive Self-Improvement of Video Understanding Agents via Harness Evolution
Let Skills Evolve Collectively with Agentic Evolver