Integration Tutorial April 13, 2026

Zapier + REM Labs: Automated Knowledge Workflows

Zapier connects to over 6,000 apps. REM Labs gives AI persistent memory. Put them together and you get automated knowledge capture -- meeting notes from Google Meet flow into memory, Slack decisions get stored automatically, and customer feedback from Zendesk becomes searchable context for your AI agents.

How It Works

REM Labs exposes a REST API that Zapier can call via webhooks. You create Zaps that trigger on events in your existing tools and send the relevant data to REM Labs as memories. Later, any AI agent connected to your REM Labs account can recall that information.

Setting Up the Zapier Webhook

In any Zap, add a Webhooks by Zapier action step with these settings:

Action: POST
URL: https://api.remlabs.ai/v1/remember
Headers:
  Authorization: Bearer your-api-key
  Content-Type: application/json
Body:
{
  "content": "{{trigger_data}}",
  "tags": ["zapier", "auto-captured"],
  "namespace": "team-knowledge"
}

Recipe: Slack Decisions to Memory

Automatically capture important Slack messages (e.g., those with a specific emoji reaction) as memories:

Trigger: Slack → New Reaction Added
  Filter: Reaction is ":brain:" or ":bookmark:"

Action: Webhooks by Zapier → POST
  URL: https://api.remlabs.ai/v1/remember
  Body: {
    "content": "Slack decision from #{{channel}}
      by @{{user}}: {{message_text}}",
    "tags": ["slack", "decisions", "{{channel}}"],
    "namespace": "team"
  }

Recipe: Meeting Notes to Memory

Store meeting summaries from Google Calendar or meeting note tools:

Trigger: Google Calendar → Event Ended
  Filter: Event has meeting notes attachment

Action 1: Google Docs → Get Document Content
Action 2: Webhooks → POST to REM Labs
  Body: {
    "content": "Meeting: {{event_title}} on {{date}}
      Attendees: {{attendees}}
      Notes: {{doc_content}}",
    "tags": ["meetings", "{{calendar_name}}"],
    "namespace": "team"
  }

Recipe: Customer Feedback Pipeline

Capture customer feedback from support tools and make it available to your AI:

Trigger: Zendesk → New Ticket (or Intercom, Freshdesk)
  Filter: Priority is High or Urgent

Action: Webhooks → POST to REM Labs
  Body: {
    "content": "Customer issue: {{subject}}
      Customer: {{requester_name}}
      Description: {{description}}",
    "tags": ["customer-feedback", "{{priority}}"],
    "namespace": "support"
  }

Recalling Zapier-Stored Memories

Any AI agent connected to REM Labs can now search these automatically captured memories:

# In Claude Code, Cursor, or any MCP-connected tool:
"What decisions did the team make about the
 authentication flow last week?"

# REM Labs searches across all Zapier-stored memories
# and returns the relevant Slack messages, meeting
# notes, and feedback tickets

Rate limits: The free tier allows 60 requests per minute, which handles most Zapier workflows. For high-volume automations, the Pro tier provides 600 RPM.

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