Amidst the era of e-economy, one of the difficulties from the standpoint of the information-systems manger is, among others, the forecast of memory needs for the organization. In particular, the manager is often confronted with maintaining a certain threshold amount of memory for a prolonged period. However, this constraint requires more than technical and managerial resolutions, encompassing knowledge management for the group, eliciting tacit knowledge from the end users, and pattern- and time-series analyses of utilization for various applications. This chapter summarizes current methods for managing server memory by incorporating intelligent agents. In particular, a new framework for building a set of automated intelligent agents with a neural network is proposed under the client-server architecture. The emphasis is on collecting the needs of the organization and acquiring the application-usage patterns for each client involved in real time. Considerations for future work associated with technical matters comprising platform independence, portability, and modularity are discussed.