This report describes four open-source software repositories developed as part of Work Package 4 of project CENTRIC and delivered as deliverable D4.1. These repositories address various challenges in protocol learning and emergence. Each repository focuses on a specific problem, such as multiple access with MuJoCo robots, random channel access with MARL, DCI learning for reducing the length of control messages, and 6G in-factory subnetworks for industrial applications. The report provides detailed descriptions of the purpose, background, features, functionality, and usage examples for each repository. These repositories offer a starting point for exploring alternative solutions, benchmarking, and customization, and can be integrated with machine learning algorithms for further research and development.