We demonstrate GNOME (Generating Novelty in Open-world Multi-agent Environments), an experimental platform that is designed to test the effectiveness of multi-agent AI systems when faced with novelty. GNOME separates the development of AI gameplaying agents with the simulator, allowing unanticipated novelty (in essence, novelty that is not subject to model-selection bias). Through the demonstration, we also hope to foster an open discussion on AI robustness and the nature of novelty in real-world environments. GNOME will employ a creative audience-interaction methodology well-suited to a virtual conference, as we will expose the facilities of the simulator (including live simulation) through a Web GUI.