AlphaMaze is a project focused on enhancing the visual reasoning abilities of Large Language Models (LLMs). It trains models through maze tasks described in text format, enabling them to understand and plan in spatial structures. This method avoids complex image processing and directly assesses the model's spatial understanding through text descriptions. Its main advantage is the ability to reveal how the model thinks about spatial problems, rather than simply whether it can solve them. The model is based on open-source frameworks and aims to promote research and development of language models in the field of visual reasoning.