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nodes / builtin / ai / aidependencies / chatmemories

Window Buffer Memory (replaced)

Replaced by Chat Memory. Workflows that use Window Buffer Memory keep working and are upgraded on save.

AI ExtensionWeb appDeprecated

Gave an agent a short memory of the last few messages.

Workflows that already use Window Buffer Memory keep working. The node now runs as a Chat Memory with Storage: This run only and History sent to the model: Last N messages, where N is twice the old window size (a question and its answer are two messages). With the default size of 5, that is the last 10 messages.

The conversation is now really kept for the length of the run (the old node didn’t remember anything). Nothing is saved after the run. When you open the workflow, the node shows that it was upgraded; saving the workflow turns it into a Chat Memory node.

Don’t add it to new workflows. Use Chat Memory.

SettingTypeWhat it does
Window Size (k) NumberOnly the last k message exchanges are kept in memory. Default: 5

Window Size (k) becomes Chat Memory’s Messages, doubled.

This node has no output port. It plugs into a slot on another node instead of passing items along.

None. This node needs no connection and has no slots for other nodes.

  1. Open a workflow that uses Window Buffer Memory with Window Size (k) 5.
  2. Save it. The node becomes a Chat Memory with Storage: This run only, Last N messages and Messages 10.
  • The agent forgets between runs. That is expected: nothing is saved after the run. Switch the Chat Memory to Conversation or Key storage to remember across runs.
  • The Chat Trigger shows no history. A run-only memory can’t give a Chat Trigger a chat history. Use Conversation or Key storage.
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