A library of enterprise-grade AI agents designed to democratize artificial intelligence and provide free, open-source alternatives to overvalued Y Combinator startups. If you are excited about democratizing AI access & AI agents, please star ⭐️ this repository and use the link in the readme to join our open source AI research team.

A reinforcement learning environment for self-driving cars in the browser.

PsyDI: Towards a Personalized and Progressively In-depth Chatbot for Psychological Measurements. (e.g. MBTI Measurement Agent)

ChatGPT extension for VSCode.

A framework using TensorFlow.js for Deep Reinforcement Learning

A wargaming platform compatible with reinforcement learning agents

Reinforcement learning for Pokemon.

A TypeScript game framework based on AlphaZero/TensorFlow.js runs in browser to demonstrate tic-tac-toe AI game. Use a pre-trained model or train from scratch. Ported from suragnair/alpha-zero-general (Python)

An OpenAI Gym and Reinforcement Learning Library built in Typescript 🤖

[INACTIVE] A collection of various machine learning solver. The library is an object-oriented approach (baked with Typescript) and tries to deliver simplified interfaces that make using the algorithms pretty simple.

Trains an agent with Proximal Policy Optimization (PPO) to beat Winter Run

A TypeScript-based MCP-server tool enabling concurrent chains of thought with real-time reinforcement learning. Seamlessly integrates with Neo4j for advanced graph analytics, facilitating dynamic and adaptive cognitive processing.

Monorepo for the IgnitionAI Framework

train minecraft agents using reinforcement learning (inspired by https://gym.openai.com/)

HarmonyOS Next app testing framework https://jcst.ict.ac.cn/article/doi/10.1007/s11390-025-5142-4

PRISM: A Multi-Perspective AI Alignment Framework for Ethical AI (Demo: https://app.prismframework.ai | Paper: https://arxiv.org/abs/2503.04740)

AI that solves Minesweeper. Uses a probabilistic approach, scans the grid, trains a Reinforcement Learning model to take decisions based on the existing grid, and marks the grid with mines to complete the game.

A simple Javascript car game combined with an autonomous driving agent powered by Tensorflow.js

an implementation of qlearning with flappy bird

Play Snake against a Deep Q-Learning agent training on your browser with TensorflowJS