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This article explains the importance of memory in AI agents, focusing on three types: session memory, user memory, and learned memory. It explores how learned memory allows agents to improve their performance over time by retaining valuable insights and adapting to user needs.
The article outlines Imprint's approach to building internal AI agent workflows, detailing specific challenges and solutions they’ve encountered. It offers practical insights on how to learn about and implement these systems, while also discussing the decision to create a custom framework instead of using existing ones.