AI Agents & Automation intermediate

Agent Memory

How an agent retains information across steps and sessions, beyond the context window.

Models are stateless, so memory is something you build: short-term state within a task, and long-term storage retrieved when relevant. Without it, an agent relearns the same facts every session. With it, you inherit questions about accuracy, staleness, and data protection.

In practice: Remembering across sessions that this client wants British English and no bullet points.