RinSim provides a modular simulation environment focused on modeling dynamic logistics scenarios with multiple autonomous agents. Users can define road networks via graph structures, configure fleets of vehicles including electric models with battery constraints, and simulate stochastic request arrivals for pickup and delivery tasks. The discrete-event architecture ensures precise timing and event management, while built-in routing algorithms and customizable agent behaviors allow extensive experimentation. RinSim supports output metrics such as travel time, energy consumption, and service level, and includes visualization modules for real-time and post-simulation analysis. Its extensible design enables integration of custom algorithms, scaling up to large fleets, and reproducible research workflows essential for academia and industry optimization of mobility strategies.