A set of pi-extensions, including pi-continuous-learning that continually improves you pi coding agent experience
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Updated
Jun 17, 2026 - TypeScript
A set of pi-extensions, including pi-continuous-learning that continually improves you pi coding agent experience
Self improving agents through iterations
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)
Use Gemini CLI with OpenCode through a local planner, reviewer, and session loop with self learning architrecture.
self-replicating ai agent built for you
AI agent pipeline orchestration for Claude Code. Deploy specialized agents in coordinated pipelines with self-learning capabilities, mesh coordination, Raft consensus, CRDT knowledge graphs, and pipeline debugging. 15 production-grade skills with reasoning protocols, 20+ agent types, 15 ready-to-run templates. Zero infrastructure.
CodeGraph MCP - Give persistent learning to your coding agent for a codebase across teams & token saving superpower to the coding agent
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.
Self-Reinforced Testing Framework (SRTF) for AI Agents.
Build Windows apps in 13 seconds from your PHONE. Self-learning local AI agent. Runs on a 4 GB GPU or just CPU + RAM. No API keys, no cloud.
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.
Self-learning macOS automation agent: control your Mac with natural language, persistent memory, reusable skills, Discord remote control, and a Swift sidecar.
Chess engine implemented with MCTS, neural network and multiprocessing in self-play to generate training data
A powerful Model Context Protocol (MCP) server for Android control via ADB with self-learning, UI memory, vision-enhanced, and macro support.
Discover, evaluate, and manage AI skills from community sources. A security-aware framework for continuous skill acquisition.
Olana Public Mac Releases. Multi-agent swarms, agentic proactive coding and workflows, bring your own subscriptions or use our keys at minimum cost
Enable the Agent to gain experience from tasks just like humans do.
Darktrace — Self-Learning AI + ActiveAI Security Platform + Cyber AI Analyst
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