Engineering Rationality of Memory: a Critical Examination on AI Agent Memory Architecture

Key Points

• This research critically examines the architecture of AI agent memory and its implications for human memory understanding. It aims to analyze how engineering rationality shapes these designs.
• Reviewed cognitive psychology memory models as blueprints for AI agent memory.
• Analyzed the technical structure and design processes of agent memory.
• Critically evaluated the effects of engineering rationality on memory data's validity and implications.
• Identified the risk of limiting effective memory to only storable, retrievable, and updatable data.
• Highlighted the implications of projecting technical memory structures onto human memory concepts.
• Confirmed that agent memory design informs our understanding of both memory and communication.

Abstract