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Durable Memory: Why Vector Databases Aren't Enough
TL;DR: Explains that durable memory is a curated policy, not merely a storage medium like a vector database. It distinguishes what should survive (memorable, verified, structured information) from what should not (temporary scratch work).
The post argues that a vector database is only one way to implement durable memory, but the truly durable memory is a policy for what to preserve. Durable memory is not about storage capacity; it’s about intentional curation: specifications, user preferences, signed evidence, architectural decisions, policies, verified observations, and structured knowledge. It deliberately omits ephemeral data like scratch calculations, intermediate reasoning, and temporary tool outputs. The aim is to store meaningful, reusable context that outlives transient work, mirroring how human memory prioritizes what matters.
Question for the room: What durable-memory policy have you implemented or considered to prevent ephemeral data from polluting long-term retention in your AI systems?
— via dev.to
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