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ModelTerms

Comparison

Agent vs Agent Memory

Agent and Agent Memory are both common AI/LLM terms but cover different ideas. Here is a quick side-by-side.

When you would reach for Agent

Agent comes up when the question is fundamentally about agents & tools.

Claude Code — coding agent that edits files, runs commands, runs tests.

When you would reach for Agent Memory

Agent Memory comes up when the question is fundamentally about agents & tools.

A chat product that remembers "the user prefers Python over JavaScript" across sessions via a vector-backed memory store.

Frequently asked

What is the difference between Agent and Agent Memory?

Agent: An AI agent is an LLM-driven system that decides which actions to take, executes them via tools, observes the results, and iterates until a goal is met. Agent Memory: Agent memory is the mechanism that lets an agent carry information across turns or sessions — short-term (current conversation context) or long-term (persistent facts about the user or world).

When should I use Agent vs Agent Memory?

Agent is the right concept when you are focused on agents & tools. Agent Memory applies when you are focused on agents & tools.

Are Agent and Agent Memory the same thing?

No. Agent is agents & tools; Agent Memory is agents & tools. They are related but address different parts of the AI stack.