Coaty is an open-source toolkit written in TypeScript for developing collaborative, decentralized IoT applications using software agents. It delivers a container runtime that hosts agent instances, a discovery and registry service for dynamic resource lookup, and pub/sub communication layers for event distribution. Built-in storage adapters synchronize state across devices, while a flexible data model allows you to extend and share domain objects. Coaty supports multiple transport protocols like MQTT and WebSocket, enabling robust, real-time interoperability between edge, fog, and cloud environments without central points of failure.

PommerLearn enables researchers and developers to train multi-agent RL bots in the Pommerman game environment. It includes ready-to-use implementations of popular algorithms (PPO, DQN), flexible configuration files for hyperparameters, automatic logging and visualization of training metrics, model checkpointing, and evaluation scripts. Its modular architecture makes it easy to extend with new algorithms, customize environments, and integrate with standard ML libraries such as PyTorch.