Agent splitting is useful in at least three fields. In mobile computing, it’s more reasonable to transfer smarter and smaller clones of an agent rather than the bulky agent itself. In agent teamwork field, it can be used as the basis for modeling the shared mental state of team-based agents. In Multi-Agent systems, it can be embedded as a built-in load-balancing mechanism. Based on a simple BDI agent model, this paper studies how to split BDI agents logically while preserving the implicit information chains.