The main objective of multimodal conversational agents is to provide a more engaged and participative communication by allowing users to employ more than one input methodologies and providing output channels that are different to exclusively using voice. This chapter presents a detailed study on the benefits, disadvantages, and implications of incorporating multimodal interaction in conversational agents. Initially, it focuses on implementation techniques. Next, it explains the fusion and fission of multimodal information and focuses on the core module of these agents: the dialogue manager. Later on, the chapter addresses architectures, tools to develop some typical components of the agents, and evaluation methodologies. As a case of study, it describes the multimodal conversational agent in which we are working at the moment to provide assistance to professors and students in some of their daily activities in an academic centre, for example, a University’s Faculty.