Multi-agent systems generate large amounts of logging data that, when properly understood, could be used to understand and subsequently improve their behaviour. A multi-agent system is a computerized system that consists of multiple interacting intelligent agents in an environment. Typically, the agents in the multi-agent system keep each other informed of their actions through some kind of communication. This communication ensures that the agents are aware of each other’s decisions. Because this occurs at a high frequency, a large amount of data is generated. We developed a visual tool that provides insight into a large amount of parallel data generated by a multi-agent system that consists of a small number of agents. The tool supports the user in analysing the behaviour of the multi-agent system and the behaviour of each individual agent.