self-improving-systems

A curated list of autonomous improvement loops, research agents, and autoresearch-style systems inspired by Karpathy's autoresearch.

Fluent is a self-improving software factory. It autonomously turns your team's vision, ideas, bug reports, user feedback, production logs, and agent traces into working software.

Autonomous self-improving multi-swarm AI platform with CRDT state, memory, simulation, execution governance, and verified repair loops.

Self-improving multi-level optimization & scientific discovery with meta-meta-learning

The normative specification for an evidence-driven AI operating model that learns from execution, governs adaptation, validates improvements, and compounds reusable knowledge over time.

Executable governance for consequences across plural horizons in self-improving systems

Automate crypto trading strategies with AI agents using evolution, high-fidelity backtesting, and live execution on DEX and CEX platforms.

Ricursive Intelligence is a frontier AI laboratory building self-improving systems to reinvent chip design, closing the loop between artificial intelligence and the hardware that powers it.

Autonomous, evidence-gated improvement loop for any codebase — Praxis truth kernel + Janus adversarial council (Explorer/Red Team). Explore freely. Prove ruthlessly.

Explore curated AutoResearch use cases with optimization traces and open source implementations for each entry

A lightweight artificial life that learns to replace parent-model reasoning with local memory, skills, and routines.

Pure RL Agents: I implemented Q-Learning agents that learn through Self-Play. They play against each other to get smarter without human help! Symmetry Optimization: To make them "genius" faster, I added logic so they understand that a board mirrored left-to-right is the same situation. This cuts the learning time in half!

Compare AdaL and Claude Code on Autoresearch benchmarks to find better hyperparameters, run more experiments, and converge faster

A recursive research system that improves how AI agents are organized across fresh reasoning problems.