Harsh Vardhan GuptaZapier integration for Mem0
A Zapier integration for Mem0 — the memory layer for AI agents. Add, search, list, and delete long-term memories from any Zap.
Built with the Zapier Platform CLI.
Actions
| Type | Name | Endpoint |
|---|---|---|
| Create | Add Memory | POST /v3/memories/add/ |
| Create | Delete Memory | DELETE /v1/memories/{id}/ |
| Search | Search Memories | POST /v3/memories/search/ |
| Search | Get Memories | POST /v3/memories/ |
Add Memory runs LLM extraction asynchronously and returns immediately with an event ID by default. Turn on Wait for Completion to have the action poll until extraction finishes and return the resulting memories — note that extraction can take longer than Zapier allows a single step to run, and a timeout there does not mean the add failed (it typically still completes server-side). Set Infer = false to store the message verbatim instead of extracting.
Get Memories returns one page at a time; use the Page and Limit fields to page through larger result sets.
Authentication
Custom (API key) auth. Provide a Mem0 API key from app.mem0.ai → Settings → API Keys. It is sent as Authorization: Token <key>.
Development
Written in TypeScript; the app compiles to dist/ (Zapier runs the compiled JS).
pnpm install
pnpm build # compile src/ → dist/
pnpm test:unit # offline unit tests (mocked, no network)
MEM0_API_KEY=m0-... pnpm test # unit + live E2E against api.mem0.ai
This app sends no telemetry of its own. Its API requests carry source: "ZAPIER" so Mem0 can see aggregate usage of the integration.
To deploy (maintainers): pnpm build && zapier push.
License
MIT