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The Affective Mirror is an attempt to build a fully automated system that intelligently responds to a person's affective state in real time. Current work is focused on building an agent that realistically mirrors a person's facial expression and posture. The agent detects affective cues through a facial-feature tracker and a posture-recognition system developed in the Affective Computing group; based on what affect a person is displaying, such as interest, boredom, frustration, or confusion, the system responds with matching facial affect and/or posture. This project is designed to be integrated into the Learning Companion Project, as part of an early phase of showing rapport-building behaviors between the computer agent and the human learner.