🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

Start building LLM-empowered multi-agent applications in an easier way.

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

AI Cloud: ⚡️Open-source AI LangChain-like RAG (Retrieval-Augmented Generation) knowledge database with web UI and Enterprise SSO⚡️, supports OpenAI, Azure, LLaMA, Google Gemini, HuggingFace, Claude, Grok, etc., chat bot demo: https://demo.casibase.com, admin UI demo: https://demo-admin.casibase.com

AI Multi-Agent Framework in .NET

A Platform for Many-Agent Reinforcement Learning

ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.

This is the official implementation of Multi-Agent PPO (MAPPO).

PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

An intelligent assistant serving the entire software development lifecycle, powered by a Multi-Agent Framework, working with DevOps Toolkits, Code&Doc Repo RAG, etc.

agentUniverse is a LLM multi-agent framework that allows developers to easily build multi-agent applications.

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

Awesome Game AI materials of Multi-Agent Reinforcement Learning

A library for generative social simulation

🐝 GPTSwarm: LLM agents as (Optimizable) Graphs

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.

A collection of multi agent environments based on OpenAI gym.

An Innovative Agent Framework Driven by KG Engine

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

Trajectory Planner in Multi-Agent and Dynamic Environments