Zapier WhatsApp AI Memory: Persistent Memory for WhatsApp Zaps
Zapier runs each Zap in isolation — your WhatsApp automation forgets every customer the moment a Zap completes. retainr adds persistent memory via Webhooks by Zapier: search before the AI step, store after. No code. No database. Free to start.
Every Zap execution is independent. Context from one run is not carried to the next — the same customer who contacted you last week is treated as a stranger today. Zapier Tables require structured data and manual filtering. retainr adds the missing semantic memory layer: two Webhooks actions and your Zap remembers every customer permanently.
Add WhatsApp memory to Zapier in 3 steps
1
Get your retainr API key
Create a free retainr account at retainr.dev/dashboard. Copy your API key. Takes 30 seconds.
2
Add Webhooks GET to search memory
At the start of your Zap (before the AI step), add a Webhooks by Zapier GET action. URL: https://api.retainr.dev/v1/memories/search?namespace=wa:{phone}&q={message}&limit=5. Header: Authorization: Bearer YOUR_KEY. Map the results into your AI step.
3
Add Webhooks POST to store memory
After the AI step, add a Webhooks by Zapier POST action. URL: https://api.retainr.dev/v1/memories. Body (JSON): namespace (phone number), content (user message + AI response). Your Zap now remembers every customer.
Twilio, 360dialog, WATI, and MessageBird all have Zapier integrations or can trigger Zaps via webhooks. The retainr Webhooks actions are provider-agnostic — they work in any multi-step Zap regardless of which WhatsApp provider triggers it.
How do I scope memory per user in a multi-customer WhatsApp Zap?
Map the sender phone number from the WhatsApp trigger to the namespace field: wa:{phone_number}. Each phone number gets its own isolated memory. Map this consistently in both the search and store steps so they use the same namespace.
Do I need a paid Zapier plan to use this?
Multi-step Zaps require Zapier Starter or above (Zapier Free only supports single-action Zaps). The retainr pattern requires at least 3 steps: WhatsApp trigger, retainr search, AI action, retainr store, WhatsApp reply. This needs a paid Zapier plan.
How do I inject the retainr search results into my AI step?
In the Webhooks GET response, the results are returned as a JSON array. Map them to the AI system prompt field using Zapier data mapping. Use a Formatter by Zapier step to join the result content strings if needed. Most AI integrations accept a text field for the system prompt.
Can I use this pattern with Zapier Interfaces for WhatsApp?
Yes. Zapier Interfaces can trigger Zaps via webhooks when a WhatsApp message is received. The retainr steps work the same way — the memory pattern is independent of how the WhatsApp trigger is set up.
Give your Zapier WhatsApp Zap real memory
1,000 memory operations per month. Free forever. No credit card required.