The Stateless Agent Problem

LLMsA model trained on text to predict the next token, and so to generate language. have no memory between requests. Every call to the model starts from a blank slate — the model only knows what you include in the current prompt. This is fine for single-turn Q&A, but it fails immediately for real agent tasks.

In this lesson, you will learn what goes wrong without conversation memory and what short-term memory needs to provide.