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.
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.
Structured records with defined columns. No semantic search. Not designed for unstructured AI memory.
Requires connecting a separate DB, writing API calls, and managing schemas. Days of setup.
Webhooks action in any Zap. Persistent, semantic search, TTL expiry. Free plan.
Create a free retainr account. Copy your API key from the dashboard. 30 seconds.
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.
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 Workflows with Persistent Context
How to connect retainr to Zapier using Webhooks by Zapier.
AI Agent Workflow Automation Guide
The complete guide to stateful AI automation on Make.com, n8n, and Zapier.
Automate Customer Support with AI (2026)
Build a Zapier customer support agent that remembers every customer.
n8n vs Make.com vs Zapier for AI Memory
Which automation platform handles AI memory best in 2026.
1,000 memory operations per month. Free forever. No credit card required.
Start free