Questions
Common questions.
What is Long-Term Memory (Agent)?
Long-term memory in an AI agent system is persistent storage that survives across individual tasks and sessions, allowing agents to recall facts, preferences, and past interactions over time.
How is Long-Term Memory (Agent) used in production?
It is typically implemented using vector databases or key-value stores. Long-term memory raises governance questions about data retention, privacy consent, accuracy of stored facts, and the right to erasure.
Which terms are related to Long-Term Memory (Agent)?
Closely related concepts include Episodic Memory (Agent), Agentic Memory, Multi-Agent System, Orchestrator Agent. Each is defined in the Prefactor glossary.
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