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Recently, the distributed agent has become one of the most attractive computing paradigms in the distributed computing community. At the same time, P2P computing has drawn great attention as a new trend in the distributed computing world to achieve the goal of "global resource sharing". Especially, mobile agents with the planning capability can be seen to be a suitable approach to perform tasks efficiently in P2P environment. In this paper, we propose an approach to provide planning capability to the P2P agent system for the better performance. The goal of this approach is two-fold: (1) to present a scalable infrastructure, which integrates the P2P agent system with planning services; and (2) to propose the planning algorithm in order to perform P2P tasks efficiently.