Himanshu-Sangshetti
4464dca825
Programmatic n8n node (n8n-nodes-mem0) with Add/Search/Get Many/Get/
Update/Delete memory operations against the Mem0 v3 API, plus API-key
credentials and usableAsTool support for the AI Agent node.
Add uses POST /v3/memories/add/ and polls GET /v1/event/{id}/ until the
async extraction resolves. No runtime dependencies (n8n verification
requirement); calls the REST API directly. MIT licensed per-package.
2.3 KiB
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 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 memories for a user (paginated) | 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. Disable Wait for Completion to return immediately with the event ID, or set Infer = false (under Additional Fields) to store messages verbatim and return synchronously.
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:
- Search memory before answering, filtered by
User ID. - 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.