3D environment for continuous adaptation using meta-learning methods, that are applied and tested in diverse spatial context. The 3D environments are constructed through Sverchok nodes, that allows the geometries to be parametrically defined, and visually programmed. Requires Python 3.6 or higher. Dynamic environment and Meta-Learning model is transferred through the OSC from Pure Data extended.