Generative agents, as introduced in the paper by Joon Sung Park and colleagues, are designed to simulate believable human behavior for use in interactive applications by leveraging an architecture that extends a large language model to store and retrieve memories. These agents can be integrated into various applications, from immersive environments to prototyping tools, and are capable of producing both individual and emergent social behaviors, such as coordinating group activities and forming relationships. The architecture of generative agents includes a memory stream, a retrieval model, and a planning and reflection module, each contributing to the believability of the agent's behavior. The challenge lies in managing the vast and complex space of human behavior, requiring architectures that can handle constantly-growing memories and complex social dynamics.