Comment by swrly

This is a great question. We handle it with session state that persists across turns — the agent's memory scope can be set to "agent" (persists across runs) vs "swirl" (one run only). For truly long-running conversations, we store context in agent memories with importance scoring, so the agent can recall relevant context days later without carrying the full history. It's not perfect yet but it works for most production patterns we've seen.