Multi Agent Simulation offers a flexible API to define Agent classes with custom sensors, actuators, and decision logic. Users configure environments with obstacles, resources, and communication protocols, then run step-based or real-time simulation loops. Built-in logging, event scheduling, and Matplotlib integration help track agent states and visualize results. The modular design allows easy extension with new behaviors, environments, and performance optimizations, making it ideal for academic research, educational purposes, and prototyping multi-agent scenarios.

Stemrobo is designed to promote STEM education through a hands-on approach, enabling students and educators to create, program, and control robots. It offers a user-friendly interface that guides users through various projects, providing resources and support to foster learning in science, technology, engineering, and mathematics. With features such as coding assistance, robotics simulation and real-time interaction, Stemrobo makes complex concepts accessible to learners of all ages.