n8n Memory Node
n8n community node for StudioMeyer Memory
Long-term AI memory with knowledge graph, semantic search, entity tracking, session continuity. Drop-in for n8n.
What it solves
The memory options built into n8n, Postgres, Redis and Motorhead, handle short-term conversation history and stop there. They remember the last few turns, not the decision you made in March. For a workflow that is supposed to know a returning customer, that is the wrong kind of memory.
How it works
It is a community node that connects an n8n workflow to the StudioMeyer Memory server and exposes the useful operations as a clean resource and operation tree, the way an n8n node is supposed to look. What that buys you is the long-term layer: semantic search across past decisions, learnings and sessions, a knowledge graph with typed entities and relations, bi-temporal tracking so you can ask what was known about something on a given date, and confidence with decay so an old contradicted fact fades instead of sitting there forever.
When to use it
Add it when a workflow has to recognise someone or something across runs rather than within one. The hosted backend runs multi-tenant in the EU, so data protection is the default rather than a configuration you have to remember.
When not to use it
It points at the hosted service. The credential has a server URL field so an enterprise customer can point it at a managed deployment on their own infrastructure after a commercial agreement, but a public self-host bundle is a planned release and not something you can install today. If short-term conversation history is genuinely all you need, the built-in options are simpler and already there.
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Language
TypeScript
Updated
2026-08-21
Install
npx -y n8n-nodes-studiomeyer-memory