A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎，预测万物

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

Govern, Observe, Direct - a real-time control room for agent societies

VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

本项目为Generative Agents项目的重构+深度汉化版本，旨在为中文用户提供一个利于维护的基础版本，以便后续实验或功能拓展。

TapeAgents is a framework that facilitates all stages of the LLM Agent development lifecycle

[ICML 2025] ResearchTown: Simulator of Human Research Community

PyTorch implementation for Social-LSTM, which is built to predict multi-vessel trajectories.

Multi agent simulation code for 2×2 Game on complex network

Multi-Agent Simulation of Collective Behavior (Pedestrian Crowd)

A lightweight Python-based 3D network multi-agent simulator. Uses a cell-based congestion model. Calculates risk, loudness and battery capacities of the agents. Suitable for 3D network optimization tasks.

A Multi-Agent Simulation Framework and Analysis of the IOTA Tangle - Python implementation and PDF of M.Sc. thesis, Imperial College London

Beer Game implemented as an OpenAI gym environment.

JAX Multi-Agent RL, Neuro-Evolution, and A-Life Library

Reinforcement Learning for Unmanned Airial Vehicles

Multi-Agent-AI-Researcher-Powered-by-DeepSeek-R1-main

A minimalist, discrete multi-agent predator-prey archytype environment.

Sky-Drive: A Distributed Multi-Agent Simulation Platform for Human-AI Collaborative and Socially-Aware Future Transportation

AI-powered simulation and prediction engine with interactive dashboard. Run scenarios, get instant AI-generated insights, and visualize results with professional charts.

Macro behavioral simulation, model how populations respond to regulation, market shocks, sanctions, and policy pressure. 15 jurisdictions, epistemic transparency layer, optional LLM swarm intelligence. Upload a PDF and simulate it!