Data Modeling for Agents

An agent's data model is easy to underestimate and expensive to get wrong. It must capture conversations richly enough to replay them, version the artifacts the agent produces, preserve an audit trail, and track the state of long-running work. This chapter covers the modeling patterns that recur across agents, independent of any particular database.