What aspect of an AI agent reflects its 'agentic' nature?

The ability to remember past interactions is a key aspect of an AI agent's 'agentic' nature because it allows the agent to build context and learn from previous experiences. This capability enables the AI to improve its responses over time, adapt to user preferences, and provide more personalized and relevant interactions. By retaining information about past conversations, the AI can create a more cohesive and engaging experience, emulating aspects of human-like agency where continuity and recall impact decision-making and interaction quality.

In contrast, utilizing predefined templates lacks flexibility and adaptability, making it less agentic. Ensuring outputs remain unaltered could limit the agent's responsiveness and learning capabilities, while the restriction to single responses without context stifles the agent's ability to engage in meaningful interactions. Overall, the ability to remember past interactions is a hallmark of an AI's agency, distinguishing it as a more autonomous and interactive entity.