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One memory for n8n, and every tool you will use

Automations store and recall from the same Hypermemory graph as Claude and your desktop app, so ops and ad-hoc chats never disagree about what happened.

Why This Works

Hypermemory is accessed via MCP and the CLI, the same memory graph either way. n8n workflows connect via the MCP node; you can also call the CLI from script steps. hm_recall pulls what ChatGPT or Claude already stored yesterday.

Quick Setup

MCP URL: https://api.hypermemory.io/mcp

  1. Create a Hypermemory account and copy your API key and graph ID from the app.
  2. Add an MCP Client node in n8n and paste the Hypermemory MCP URL.
  3. Authenticate with your API key (or OAuth where supported).
  4. Call hm_store and hm_recall in your workflow, the same graph as Claude and your other tools.

Available Tools

ToolDescription
hm_find_relatedTraverse connected knowledge from a starting node
hm_forgetDelete a node with optional cascade
hm_get_overviewGraph stats, top nodes, and type distribution
hm_ingestDecompose dense text into graph entities in one pass
hm_list_filesQuery uploaded files by type or name
hm_list_orphansList disconnected nodes for cleanup
hm_recallHybrid search across your graph (BM25, vector, edges)
hm_storeCreate a memory node; background enrichment runs automatically
hm_timelineTemporal recall by period or date range
hm_timeline_writeWrite an explicit diary-style timeline entry
hm_updateUpdate a node; re-embeds when the description changes
hm_upload_fileUpload a file into memory (summary + graph node)

Use Case

Ticket triage stores the fix pattern with hm_store. When a similar ticket arrives, the workflow hm_recalls the prior thread, and your PM sees the same story in Claude without opening n8n. One memory, multiple surfaces.