What is short-term memory in an AI agent?

Short-term memory in an AI agent corresponds to the active conversation and context within the current session, roughly equivalent to what fits inside the model's context window.

• Includes the current task, recent tool calls, and their observed results
• Disappears once the session ends unless it's explicitly saved somewhere persistent
• Limited by the size of the context window, which constrains how much recent history the agent can directly reference

Because short-term memory is bounded, long-running agents need strategies like summarization or offloading to long-term memory to avoid losing important earlier context as a task grows.

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