A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎,预测万物
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Updated
Sep 3, 2026 - Python
A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎,预测万物
Fractal Graph-of-Thought. Rhizomatic Mind-Mapping for Ai-Agents, Web-Links, Notes, and Code.
ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.
One sentence creates an AI-driven world — generate maps, characters, and watch stories emerge on their own. 一句话生成一个AI自主驱动的世界.
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
AI World Generator 2026: Create Self-Evolving Maps & Stories
PyTorch implementation for Social-LSTM, which is built to predict multi-vessel trajectories.
An ecologically inspired multi-agent system. Agents are designed with neural network based decision making, and complex resource requirements.
GATSim: Generative-Agent Transport Simulation
Reciprocal Collision Avoidance for Real-Time Multi-Agent Simulation (port to Javascript). This is an alpha release of a RVO2 port from the C# version to Javascript, only for research purposes.
CORMAS (COmmon pool Ressources and Multi-Agent Simulations)
Multi agent simulation code for 2×2 Game on complex network
Java Agent Based Modelling toolkit
Multi-Agent Simulation of Collective Behavior (Pedestrian Crowd)
AI-powered autonomous coding agent for Unity/Strada.Core — PAOR agent loop, 40+ tools, RAG over C# codebases, persistent HNSW memory, multi-channel (Web/Telegram/Discord/Slack/WhatsApp), 24/7 daemon mode, multi-agent orchestration, and SOUL.md personality system.
The purpose of this simulator is simulates and allows visualization of the evacuation process of people located in buildings during emergencies.
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