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@mem0/n8n-nodes-mem0

v0.1.3

Published

n8n community node for Mem0 — the memory layer for AI agents. Add, search, get, update, and delete long-term memories.

Downloads

609

Vulnerabilities

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Links

Git

Maintainers

deshrajdrydeshrajdrywhysosaketwhysosakethoward.gil.mem0howard.gil.mem0kartik-mem0kartik-mem0

Keywords

n8n-community-node-packagemem0memoryaiagentsllm

Readme

@mem0/n8n-nodes-mem0

This is an n8n community node that lets you use Mem0 — the memory layer for AI agents — in your n8n workflows.

Mem0 gives your agents long-term memory: add memories from conversations, then search and recall them across sessions.

n8n is a fair-code licensed workflow automation platform.

Installation · Operations · Credentials · Usage · Resources

Installation

Follow the community nodes installation guide and install @mem0/n8n-nodes-mem0.

Operations

The Memory resource supports:

| Operation | Description | Endpoint | | --- | --- | --- | | Add | Extract and store memories from messages | POST /v3/memories/add/ | | Search | Semantic search over stored memories | POST /v3/memories/search/ | | Get Many | List stored memories (single page, or Return All) | POST /v3/memories/ | | Get | Retrieve a single memory by ID | GET /v1/memories/{id}/ | | Update | Update a memory's text or metadata | PUT /v1/memories/{id}/ | | Delete | Delete a single memory by ID | DELETE /v1/memories/{id}/ |

Add & asynchronous extraction

By default, Add runs LLM-based extraction asynchronously: the API returns an event ID and the node polls until extraction finishes, then returns the resulting memories.

Two independent controls:

  • Wait for Completion (on by default) decides whether the node polls. Turn it off to return immediately with the event ID.
  • Infer (on by default, under Additional Fields) decides whether the API runs LLM extraction at all. Turn it off to store the messages verbatim.

Custom Instructions, Custom Categories, Includes, and Excludes (also under Additional Fields) steer what extraction keeps for that call. Agent ID, App ID, and Run ID live there too, and scope the memory alongside (or instead of) User ID.

Entity filters on Search & Get Many

Both take User ID, Agent ID, App ID, and Run ID, and at least one is required — the API rejects a query with no entity scope, and the node fails with a clear message before calling it.

Supplying several combines them with OR, giving the union of those scopes. Mem0 indexes each entity separately, so an AND across user_id and agent_id matches nothing even for a memory written with both. To narrow instead of widen, run one operation per entity id.

Credentials

You need a Mem0 API key. Create one at app.mem0.ai → Settings → API Keys. The key is sent as Authorization: Token <key>.

Usage

This node is also usable as a tool by n8n's AI Agent node — attach it so an agent can "remember" and "recall" autonomously.

A typical loop:

  1. Search memory before answering, filtered by User ID (or Agent ID / App ID / Run ID).
  2. Add durable facts after a meaningful exchange.

Memory writes are asynchronous by default; allow a moment after an Add before searching for the same content.

Telemetry

This node sends no third-party telemetry. Its API requests are tagged with source: "N8N" so Mem0 can see aggregate usage of the integration. No separate analytics service is contacted and nothing else is collected.

Resources

License

Apache-2.0