What is Agent Memory?
The ability of an agent or LLM to store, recall, and leverage past interactions or information during task execution.
More about Agent Memory:
Agent Memory refers to the persistent or session-based storage of facts, context, or past interactions by an agent or LLM. This memory enables better context retention, personalized responses, and coherent multi-turn dialogue.
Agent memory is foundational for context injection, advanced agentic workflows, and applications like virtual assistants or customer support bots.
Frequently Asked Questions
How do AI systems implement agent memory?
Techniques include context windows, persistent knowledge bases, and session history tracking.
What are the benefits of agent memory?
It supports continuity, personalization, and context-aware reasoning across complex workflows.
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