The "files are all you need" debate misses what's actually happening in agent memory architecture

The debate around "files are all you need" for AI agent memory misses the nuanced reality that leading teams have decoupled interface and storage choices in agent architecture. While filesystem interfaces work well for coding agents due to training data advantages, database storage is universally preferred for its scalability, performance, governance features, and hybrid retrieval capabilities. Developers should consider specific agent types, appropriate interfaces, and required storage functionalities when designing AI systems.

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