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Written by Max Zeshut
Founder at Agentmelt
The mechanism by which an AI agent maintains context within a single conversation—tracking what was said, what was agreed, and what state changes occurred across multiple turns. Conversational memory goes beyond raw chat history: it includes resolved references ('that order' → order #4521), tracked entities (the customer, the product, the issue), and accumulated state (steps already tried, information already collected). Good conversational memory prevents agents from asking for information the user already provided.
Turn 1: 'I can't access my account.' Turn 5: 'Try the same steps on your other device.' The agent remembers the user's email, account status, and the three troubleshooting steps already attempted—without asking the user to repeat any of it.