Managing State Across Interactions › Managing State Across Interactions

You've built an agent with a clear architecture. It maintains state, makes decisions, and executes actions. But there's a subtle challenge we haven't fully addressed: what happens when the conversation doesn't fit neatly into a single session?

Real users don't interact with your assistant in perfect, isolated episodes. They might ask a question in the morning, then follow up in the afternoon. They might start a task, get interrupted, and come back hours later. They might have preferences they mentioned weeks ago that should still apply today.

This is where state management gets interesting. You need to decide: what persists, what expires, and when to reset? Get this wrong, and your agent either forgets too much (frustrating users) or remembers too much (becoming slow and confused).

Let's explore how to manage state across interactions so your assistant behaves naturally, whether it's handling a quick question or maintaining context over days.