5 principles for building AI memory: store, structure, retrieve, update, forget
goyalshaliniuk · x · 2026-10-06
A tweet thread laying out five principles for designing AI memory systems, arguing good memory is about remembering intelligently, not storing everything:
- Store only useful info: prioritize preferences, key facts, long-term goals, recurring workflows, and past decisions — less noise.
- Structure memory: categorize into user preferences, projects, important facts, past decisions, and temporary context instead of one giant history, making retrieval far easier.
- Retrieve by relevance: combine semantic similarity, recency, importance, current task, and user context.
- Update & forget: refresh stale facts, remove contradictions, expire temporary info, correct mistakes — good memory needs forgetting.
- Separate short-term and long-term memory: current conversation/task vs. stable preferences and recurring workflows.
The full loop: store → organize → retrieve → update → forget.
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