MultiAgent-Systems-StarCraft2-PySC2-Raw offers a complete toolkit for developing, training, and evaluating multiple AI agents in StarCraft II. It exposes low-level controls for unit movement, targeting, and abilities, while allowing flexible reward design and scenario configuration. Users can easily plug in custom neural network architectures, define team-based coordination strategies, and record metrics. Built on top of PySC2, it supports parallel training, checkpointing, and visualization, making it ideal for advancing research in cooperative and adversarial multi-agent reinforcement learning.

Interacly AI offers a platform where users can effortlessly create and explore interactive AI chatbots. With its intuitive interface, the platform facilitates custom interaction training, making it ideal for those seeking to leverage AI in innovative ways. The playground nature of the platform encourages experimentation, learning, and development, providing users with the tools necessary to bring their AI chatbot ideas to life.