Agent Memory: Short-Term, Long-Term, Episodic (EXPLAINED)
Hard AI Agents interview question on agent memory: short-term, long-term, episodic — architecture, trade-offs, eval, and production patterns.
TL;DR — Quick Answer
Short-term: conversation buffer and scratchpad. Long-term: vector store or DB of user facts. Episodic: past trajectories retrieved for similar tasks. Separate write policies and TTLs to prevent unbounded growth.
The Interview Question
Explain agent memory: short-term, long-term, episodic. How would you apply this when building production AI agents? Cover architecture, safety, and evaluation.
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