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Documentation Index

Fetch the complete documentation index at: https://supermemory.ai/docs/llms.txt

Use this file to discover all available pages before exploring further.

With Supermemory you can now easily add memory to your Zapier workflow steps. Here’s how:

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Prerequisites

  • A Supermemory API Key. Get yours here

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Step-by-step tutorial

For this tutorial, we’re building a simple flow that adds incoming emails in Gmail to Supermemory.
1

Make a flow

Open your Zapier account and click on ‘Zap’ to make a new automation.make a zap - annotated
2

Add Gmail node

Add a new Gmail node that gets triggered on every new email. Connect to your Google account.add gmail
3

Add code block

Now, add a new ‘Code by Zapier’ block. Set it up to run Python.In the Input Data section, map the content field to the Gmail raw snippet.
4

Integrate Supermemory

Since we’re ingesting data here, we’ll use the add documents endpoint.Add the following code block:
    import requests

    url = "https://api.supermemory.ai/v3/documents"

    payload = { "content": inputData['content'], "containerTag": "gmail" }
    headers = {
        "Authorization": "Bearer YOUR_SM_API_KEY",
        "Content-Type": "application/json"
    }

    response = requests.post(url, json=payload, headers=headers)

    print(response.json())
The inputData['content'] field maps to the Gmail content fetched from Zapier.
Sometimes Zapier might show an error on the first test run. It usually works right after. Weird bug, we know.
You can perform other operations like search, filtering, user profiles, etc., by using other Supermemory API endpoints which can be found in our API Reference tab.