Integration Tutorial April 13, 2026

Make.com + REM Labs: Visual Memory Automation

Make.com (formerly Integromat) lets you build complex automation workflows visually. By connecting it to REM Labs, you can automate knowledge capture and retrieval across hundreds of apps -- no code required. Build scenarios that store insights from meetings, emails, and CRMs directly into your AI memory.

Setting Up the HTTP Module

Make.com connects to REM Labs through its built-in HTTP module. No custom app installation needed.

Store a Memory (HTTP POST)

Module: HTTP → Make a request URL: https://api.remlabs.ai/v1/remember Method: POST Headers: Authorization: Bearer your-api-key Content-Type: application/json Body type: Raw (JSON) Body: { "content": "{{1.output}}", "tags": ["make", "auto-captured"], "namespace": "team-knowledge" }

Recall Memories (HTTP POST)

Module: HTTP → Make a request URL: https://api.remlabs.ai/v1/recall Method: POST Headers: Authorization: Bearer your-api-key Content-Type: application/json Body: { "query": "{{1.search_term}}", "namespace": "team-knowledge", "limit": 5 }

Scenario: Email Insights Pipeline

Build a Make scenario that extracts key decisions from important emails and stores them as memories:

  1. Trigger: Gmail → Watch Emails (filtered by label "Important")
  2. Transform: OpenAI → Extract key decisions and action items from the email body
  3. Store: HTTP → POST to REM Labs /v1/remember with extracted insights
// Step 3 body: { "content": "Email from {{1.from}} on {{1.date}}: Subject: {{1.subject}} Key decisions: {{2.choices[0].message.content}}", "tags": ["email", "decisions", "{{1.from}}"], "namespace": "team" }

Scenario: CRM Deal Intelligence

Capture deal context from your CRM so AI agents can access customer history:

  1. Trigger: HubSpot → Deal Stage Changed
  2. Store: HTTP → POST to REM Labs with deal context
{ "content": "Deal '{{1.dealname}}' moved to {{1.dealstage}}. Company: {{1.company}}. Amount: ${{1.amount}}. Close date: {{1.closedate}}. Notes: {{1.notes}}", "tags": ["crm", "deals", "{{1.company}}"], "namespace": "sales" }

Scenario: Recall Before Responding

Build a scenario that checks REM Labs for context before sending automated responses:

  1. Trigger: Slack → New Message in Channel
  2. Recall: HTTP → POST to REM Labs /v1/recall with the message text
  3. Generate: OpenAI → Generate response using recalled memories as context
  4. Reply: Slack → Post Reply with the context-aware response

Visual debugging: Make.com shows the data flowing through each step. You can see exactly what memories were recalled and how they influenced the output -- great for tuning your automation.

Automate your AI memory visually

Free tier. Works with Make.com's HTTP module. No code required.

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