Give a WhatsApp AI assistant selective long-term memory

An n8n workflow saves only important user facts (name, job, preferences) and retrieves them later.

In short

What it does: An n8n workflow saves only important user facts (name, job, preferences) and retrieves them later.

Agent: n8n · Category: Automation & integrations

Steps in brief:

  1. Detect important information in each message instead of storing everything.
  2. Save only those details.
  3. Retrieve them when the user returns.

Who made it: /u/cuebicai (Reddit, 28 Sep 2026) · source

Last updated · based on 336 use cases on agentsetups, each credited to its author.

by /u/cuebicai28 Sep 2026

Prompt for your agent

Goal: Make my WhatsApp assistant remember important facts about users.
Setup: agents used in source: n8n; tools/MCPs stated: n8n, WhatsApp.
Steps:
1. Detect important information in each message instead of storing everything.
2. Save only those details.
3. Retrieve them when the user returns.
Rules: ask me before anything irreversible (sending, posting, paying, deleting); don’t invent data, results or tools I haven’t given you; tell me what you couldn’t verify.
Based on: /u/cuebicai — https://www.reddit.com/r/n8n/comments/1ws34sk/built_an_n8n_workflow_for_a_whatsapp_ai_assistant/ (summarised from source; the source has no explicit step list)

Steps are our summary of the source (it has no explicit step list). Includes a “Based on” credit line.

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Agents, models and tools only what the source states

Agents
n8n
Tools
  • n8n
  • WhatsApp

Sources & credit