Assembloid Agency proposes an open-source Unreal Engine API for interfacing with brains-on-chips (Amirifar et al. 2022), where the API mediates between living neurons cultured on high-density microelectrode arrays and simulated game environments.
Building on “Organoid Array Computing: The Design Space of Organoid Intelligence” (Leung, Loewith, and Frisch 2025), which speculates on a future where three-dimensional brain cultures assemble into more complex cognitive infrastructures and hence may become increasingly ‘designable’ and ‘playable’ organisms (Bongard and Levin 2021).
We extend this design space to apply games-design principles to context engineering for organoid intelligence, treating organoids as polycomputational agents trained through reinforcement learning (Smirnova et al. 2023). Our proposed plugin exposes functions for stimulation, recording, visualization, and real-time control of neuronal cultures within Unreal Engine. This allows researchers to prototype experimental contexts rapidly, whether using biological wetware, spiking neural networks, or EEG stand-ins. Game templates will be built on Unreal’s Learning Agents plugin to support single- and multi-organoid training scenarios.
NeurIPS Creative AI Track Paper
By Jenn Leung & Chloe Loewith