A lightweight Python library that allows any LLM agent to self-improve through feedback, without retraining models.

How to effectively finetune CV/LLM models (without local gpu)

self-replicating ai agent built for you

The Self-Learning AI Framework is an autonomous system that analyzes, modifies, and optimizes its own code. It supports natural language interaction, framework creation, code suggestions, PDF-based learning, and package management. Ideal for automating code reviews, agent creation, and AI-driven development.

CodeGraph MCP - Give persistent learning to your coding agent for a codebase across teams & token saving superpower to the coding agent

LLM Powered, Autonomous, Self-Learning, Self-Improving, Research System

This project implements an AI that teaches itself to play the game of Nim using Q-learning, a form of reinforcement learning. By playing games against itself, the AI learns optimal strategies for playing Nim, eventually improving its performance by updating a reward table based on game outcomes.

Chess engine implemented with MCTS, neural network and multiprocessing in self-play to generate training data

Reasona is an AI system that improves itself. It answers questions using your documents and corrects wrong answers automatically for better future results.

Discover, evaluate, and manage AI skills from community sources. A security-aware framework for continuous skill acquisition.

Enable the Agent to gain experience from tasks just like humans do.