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

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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.

This analysis examines AI agent memory design, revealing its implications for human-machine communication.

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Hana Yun (2026) studied this question.

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