In Part 1, we built a Foundry agent with long-term memory that could remember user preferences, roles, and context across sessions without any custom embedding pipelines. If you haven’t read that post yet, I’d recommend starting there, as this one builds directly on top of that code. But here’s the thing: memory on its own is useful, but it’s not transformative. Knowing that a user prefers bullet-point summaries or works in the finance department is…
