🌟 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

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.

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

Trajectory Planner in Multi-Agent and Dynamic Environments

API to run VirtualHome, a Multi-Agent Household Simulator

An Innovative Agent Framework Driven by KG Engine