A- multi-agent simulation library, with a goal to simulate and optimize systems and environments with multiple agents interacting Researchers from Stanford and Google created an interactive sandbox env with 25 Gen AI agents can simulate human behavior They walk in the park, join for coffee at a cafe, and share news with colleagues. They demonstrated surprisingly good social Westworld's inspiration is drawn from Unity software and Unity ML Agents, adapted in Python Languages The library is available on PyPi via pip install westworld [Javascript version (being developed)](https://github.com/TheoLvs/westworldjs) Features Easy creation of Grid and non-grid environments Objects (Agents, Obstacles, Collectibles, Triggers) Subclassing of different objects to create custom objects Spawner to generate objects randomly in the environment Basic rigid body system for all objects Simple agent behaviors (pathfinding, wandering, random walk, fleeing, vision range) Automatic maze generation Layer integration to convert image to obstacle and snap it to a grid Sample simulations and sample agents for classic simulations Simulation visualization, replay and export (gif or video)