This research paper will outline the new Plug-in Oriented Agent Architecture (POAA) and describe the agents that make use of the POAA architecture. POAA agents make heavy use of functional and controller based plug-ins in order to extend the functionality and behavior of the agent. The architecture was designed to facilitate machine learning and agent mobility techniques. POAA agents are created by mounting newly created dynamic plug-in components into the static structure of the agent. The use of plug-ins will greatly improve the effectiveness of researchers, as only a single, standard architecture will exist. Researchers only need to design and develop the plug-in required for their specific agent to function as desired. This will also facilitate the comparison of various tools and methods, as only the components being reviewed need to be interchanged to measure system performance.