Chat with conversation memory
Remembers what was said earlier, so the customer does not have to repeat themselves every turn.
Graph preview
How it works
A window memory node (window_memory) is attached to the agent over a link_memory
wire. It keeps the most recent messages of the session and injects them into every request,
so the user can say “tell me more” without repeating the context.
- Entry receives the message.
- Memory hands the agent the session history.
- Agent answers with that history in context.
- Answer returns the result.
What to configure after import
- The window size: too large costs tokens on every turn, too small cuts the context off.
- For long conversations look at
summary_memory, which compresses the older part of the dialogue instead of dropping it.
Memory is per session: users of a public chat never see each other’s history.