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Window Buffer Memory#

Use the Window Buffer Memory node to persist chat history in your workflow.

On this page, you'll find a list of operations the Window Buffer Memory node supports, and links to more resources.

Examples and templates

For usage examples and templates to help you get started, refer to n8n's Window Buffer Memory integrations page.

Parameter resolution in sub-nodes

Sub-nodes behave differently to other nodes when processing multiple items using an expression.

Most nodes, including root nodes, take any number of items as input, process these items, and output the results. You can use expressions to refer to input items, and the node resolves the expression for each item in turn. For example, given an input of five name values, the expression {{ $json.name }} resolves to each name in turn.

In sub-nodes, the expression always resolves to the first item. For example, given an input of five name values, the expression {{ $json.name }} always resolves to the first name.

Node parameters#

  • Session Key: the key to use to store the memory in the workflow data.
  • Context Window Length: the number of previous messages to consider for context.

View example workflows and related content on n8n's website.

Refer to LangChain's Buffer Window Memory documentation for more information about the service.

View n8n's Advanced AI documentation.