The Automated Network Games Enhancement Layer (ANGEL) project aims to leverage Machine Learning (ML) techniques to automate the classification and isolation of interactive (e.g. games, voice over IP) and non-interactive (e.g. web) traffic. This information is then used to dynamically reconfigure the network to improve the Quality of Service provided to the current interactive traffic flows and subsequently deliver improved performance to the end users. Within this scope, the project will develop protocols that allow the adjustment of Consumer Premise Equipment (CPE - eg. cable/ADSL) configuration to provide better quality of service to interactive flows detected in real-time. This document describes the basic design motivation of the Client Manager Software Component of ANGEL. The Client Manager is responsible for managing registration and de-registration of individual ANGEL-enabled CPE devices and then delivering flow classification information from the Flow Classifier to all registered users that are routing those flows.