Agent-Based Modeling （ABM） has proved to be an efficient and powerful tool to study coupled human and natural systems. In recent years， the use of ABM to track water resources management issues is increasingly popular. Based on the review at the interface of ABM and water resources management studies， the techniques， progresses， advantages and limitations are summarized. Three topic areas are identified， addressing different research issues in the field： urban water resources management， agricultural water resources management and integrated watershed water resources management. Overall， with ABM， human decisions and behaviors are linked with water systems. The underlying feedback mechanisms between human and water systems can be revealed and used for policy and strategy planning. However， there still exist some limitations that need to be improved through the following ways. Firstly， more realistic human decision rules are certainly needed. Machine learning and big data techniques can be applied for this purpose. Additionally， the validation and evaluation methods suitable for ABM should be developed and enhanced. Furthermore， it is recommended to continuously conduct researches at a representative basin to advance the application of ABM for water resources management. More importantly， multi-disciplines collaborations such as involving more social and psychological sciences in ABM should be promoted. In conclusion， ABM provides a new insight to deal with water resources management issues. Strengthening the application of ABM in water resources management could promote the sustainable management and development of water resources around the world.