OpenMAS is designed to facilitate the development and evaluation of decentralized AI agents and multi-agent coordination strategies. It features a modular architecture that allows users to define custom agent behaviors, dynamic environment models, and inter-agent messaging protocols. The framework supports physics-based simulation, event-driven execution, and plugin integration for AI algorithms. Users can configure scenarios via YAML or Python, visualize agent interactions, and collect performance metrics through built-in analytics tools. OpenMAS streamlines prototyping in research areas such as swarm intelligence, cooperative robotics, and distributed decision-making.