SciVerseGym introduces a Gymnasium-compatible environment that frames crystal discovery as a Markov decision process. It enables agents to perform chemically meaningful edits on atomic structures and receive feedback from configurable evaluators, supporting diverse actions and observation types with machine-learned potentials or ASE-compatible calculators.