Lesson 2086 of 2116
AI Agentic Memory Systems: Short-Term, Long-Term, and Episodic
How to architect memory layers for AI agents that need continuity across sessions.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2working memory
- 3episodic memory
- 4vector recall
Concept cluster
Terms to connect while reading
Section 1
The premise
Effective agents combine working memory (current context), episodic memory (recent sessions), and semantic memory (learned facts) — each with distinct retrieval and write policies.
What AI does well here
- Summarizing past sessions into retrievable episodic records
- Retrieving semantically similar past interactions
- Writing new facts to long-term storage on explicit cues
- Maintaining short-term scratchpads during multi-step tasks
What AI cannot do
- Decide on its own when a memory has become stale or wrong
- Reconcile contradictory facts across long memory horizons
Key terms in this lesson
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