The core of agro-hydrologic research area is a multi-paradigms subject (i.e.: food security, climate variability, resources conservation, etc.). In order to make progress in understanding these dynamic structures, coupled models are becoming valuable instruments. They result from the sharing of data or processes within a determined system between individual models. However, there are no universal guidelines for coupling models, and the studies available in the literature are either study-case dependent or programmer-oriented guides. The objective of the present work is to providing an overview of the current coupling methodologies that are applicable for modeling of agro-hydrologic systems, as well as their communities of work.