Make.com HTTP Module

Make.com Airtable AI Memory: Persistent Memory for Airtable Scenarios

Make.com Airtable scenarios trigger on record changes but have no memory of past AI interactions with the same record or contact. retainr adds persistent memory so your AI agent builds a knowledge trail across every scenario execution.

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Add Airtable memory to Make.com 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 HTTP GET to search record history

After the Airtable trigger in your scenario, add an HTTP GET module: https://api.retainr.dev/v1/memories/search?namespace=airtable:{record_id}&q={record_content}&limit=5. Authorization: Bearer YOUR_KEY. Inject results into your AI module.

3

Add HTTP POST to store each AI interaction

After your AI module, add an HTTP POST module to https://api.retainr.dev/v1/memories. Body: namespace (airtable:{record_id}), content (AI output, decisions made, next steps). The record now has a persistent AI memory trail alongside your structured Airtable data.

Make.com Airtable memory — frequently asked questions

How does retainr memory complement Airtable data in Make.com?
Airtable stores structured records with defined fields. retainr stores unstructured AI interaction history — notes, decisions, context that does not fit neatly into Airtable columns. Use both: pull the structured record from the Airtable module, retrieve the AI conversation history from retainr, feed both into the AI module.
What namespace should I use for Airtable records in Make.com?
For per-record memory, use airtable:{record_id}. For scenarios where the same person appears across multiple records (CRM, project management), use the contact email as namespace so memory is shared across all their records.
Can I use retainr with Make.com Airtable Watch Records triggers?
Yes. The Make.com Airtable module includes Watch Records and Watch New Records triggers that fire on record creation or update. Map the record ID and relevant fields from the trigger payload to the retainr HTTP modules.
How do I use retainr memory for Airtable content workflows in Make.com?
For content generation workflows (blog posts, product descriptions, social copy), use the Airtable record ID as namespace and store previous drafts and feedback. On the next generation run, the AI recalls what worked and what was rejected — improving output quality over time.
Does retainr replace Airtable for storing AI outputs?
No — they serve different purposes. Store structured AI outputs (summaries, categories, scores) back in Airtable fields for human review and reporting. Store the full AI interaction context in retainr for semantic retrieval on future AI calls. Both are useful.

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