Zapier Webhooks Action

Zapier AI Agent Memory: Persistent Memory for Zapier Workflows

retainr gives Zapier automations persistent memory. Use the retainr HTTP action in any Zap to store context after an AI step and recall it in future runs. Your Zapier AI agent remembers customers, projects, and preferences — no code required.

Why Zapier AI automations forget everything

Zapier runs each Zap in isolation. When it finishes, all context is cleared. The next Zap run starts completely fresh — your AI has no memory of the same customer's history. Zapier Tables require structured data and manual filtering — they are not built for semantic AI memory retrieval.

Zapier Tables

Structured records with defined columns. No semantic search. Not designed for unstructured AI memory.

External storage

Requires connecting a separate DB, writing API calls, and managing schemas. Days of setup.

retainr

Webhooks action in any Zap. Persistent, semantic search, TTL expiry. Free plan.

How to add memory to Zapier in 3 steps

1

Get your API key

Create a free retainr account. Copy your API key from the dashboard. 30 seconds.

2

Add Webhooks action

In your Zap, add a Webhooks by Zapier POST action after the AI step. Point it to the retainr API with the customer ID and AI response.

3

Search on next run

At the start of each Zap, add a Webhooks GET to search retainr. Inject the results into your AI prompt. Memory persists forever.

Zapier AI memory — frequently asked questions

How do I make Zapier remember information between Zaps?
Add a Webhooks by Zapier action to your Zap and POST the context you want to remember to the retainr API at https://api.retainr.dev/v1/memories. Include a customer or session ID as the memory key. On the next Zap run, search retainr to retrieve that context before your AI step.
What is the difference between Zapier Tables and retainr?
Zapier Tables store structured records — like a spreadsheet with defined columns. retainr stores unstructured AI memory: conversation history, preferences, context. retainr uses semantic search to find the most relevant memory for a given query, not exact row lookups. They serve different purposes.
Can Zapier AI agents have persistent memory?
Not natively — Zapier runs each Zap in isolation with no memory between runs. retainr adds that missing persistence layer. Connect it via the Webhooks action, and your Zapier AI agent remembers every customer's history across all past Zap executions.
How do I add context to Zapier AI automations?
In your Zap: 1) Add a Webhooks GET action searching retainr for the customer's memory before your AI step. 2) Inject the search results into your AI prompt. 3) After the AI response, add a Webhooks POST action to store the new context. Your AI now has persistent context on every run.
Does retainr work with Zapier without code?
Yes. Use the Webhooks by Zapier action — no code required. Set the URL to the retainr API endpoint, add your API key as an Authorization header, and map the customer ID and message fields from your Zap data. Full setup takes under 10 minutes.
How do I store AI context in Zapier?
After each AI step in your Zap, add a Webhooks by Zapier POST action. URL: https://api.retainr.dev/v1/memories. Header: Authorization: Bearer YOUR_API_KEY. Body (JSON): { namespace: customer email or ID, content: AI response or conversation text }. retainr stores and indexes it automatically.

Give your Zapier automations real memory

1,000 memory operations per month. Free forever. No credit card required.

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