This open-source framework combines the AgentSimJs agent modeling library with Three.js's 3D graphics engine to deliver interactive, browser-based multi-agent simulations. Users can define agent types, behaviors, and environmental rules, configure collision detection and event handling, and visualize simulations in real time with customizable rendering options. The library supports dynamic controls, scene management, and performance tuning, making it ideal for research, education, and prototyping of complex agent-based scenarios.

uMel is an advanced AI development and deployment platform designed to streamline the creation and management of AI-powered applications. By providing easy-to-use tools and integrations, uMel enables developers and organizations to build robust AI solutions that can transform business processes and enhance decision-making capabilities. From data handling to model deployment, uMel covers all aspects of the AI lifecycle, ensuring scalability and performance optimization.

Deci AI is a comprehensive deep learning acceleration platform designed to assist AI developers in building, optimizing, and deploying ultra-fast, production-ready models. By leveraging advanced neural architecture search and optimization techniques, Deci AI ensures that models are perfectly tailored to meet specific performance and hardware requirements. The platform supports various frameworks and hardware configurations, making it versatile for different applications. Deci AI's tools streamline the development process, allowing users to focus more on innovative aspects of AI applications rather than the complexities of model tuning and deployment.