Within the project, an infrastructure for building and district applications will be purchased. The necessary hardware and software for the development of room agents, facade agents, ventilation agents, heat pump agents, fuel cell agents, PV agents, storage agents, weather agents, lighting agents, eMobility agents, safety agents, probe field agents, building performance agents, etc. is purchased and integrated into different building types. Particular attention is paid to the application of scalable methods and resource-efficient algorithms. Hybrid methods consisting of machine learning algorithms as well as linear and nonlinear optimization methods are used. The result is a unique real-world laboratory with which multi-agent systems can be developed.