Multi-Agent-AI-Models-and-Path-Planning provides a comprehensive toolkit for developing and testing multi-agent systems combined with classical and modern path planning methods. It includes implementations of algorithms such as A*, Dijkstra, RRT, and potential fields, alongside customizable agent behavior models. The framework features simulation and visualization modules, allowing seamless scenario creation, real-time monitoring, and performance analysis. Designed for extensibility, users can plug in new planning algorithms or agent decision models to evaluate cooperative navigation and task allocation in complex environments.

ArchiLabs revolutionizes architectural design by utilizing artificial intelligence to generate innovative building models, offer design alternatives, and streamline workflows. It helps professionals visualize concepts, assess structural integrity, and explore different materials — all through intuitive interfaces and advanced simulations, enabling rapid prototyping and feedback.