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AI / Agentic AI Interview Questions

What is long-term memory in an AI agent?

Long-term memory lets an agent retain knowledge across sessions rather than starting fresh every time, typically implemented through an external vector database or knowledge store.

  • Stores information as embeddings that can be searched for semantic similarity to a new query
  • Lets an agent recall relevant facts or past interactions from weeks or months earlier
  • Requires deliberate write and retrieval logic, deciding what's worth saving and when to pull it back in

This is what separates an agent that remembers a user's preferences over time from one that treats every conversation as a completely blank slate.

What is long-term memory typically implemented with?
What does long-term memory let an agent do across sessions?

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