kartik-mem0
2a61fe1a32
The Add operation exposed app_id, includes, and excludes in Additional Fields and forwarded them to POST /v3/memories/add/. None of the three are declared on that endpoint's schema (they belong to MemoryInput, used by POST /v1/memories/), so they were silently dropped by the server. app_id was worse than a no-op: the entity-id guard accepted it as satisfying "at least one entity id", so filling only App ID passed local validation and then sent a v3 request carrying no scope v3 recognises. The guard now requires User ID, Agent ID, or Run ID. Docs corrections alongside it: - Add: document Custom Instructions and Custom Categories, which the node has always supported but the docs never mentioned - Get Many: document Return All, which the docs omitted entirely - README: Infer and Wait for Completion are independent controls; the README claimed infer=false returns synchronously, contradicting the node's own field description and its actual behaviour
66 lines
2.8 KiB
Markdown
66 lines
2.8 KiB
Markdown
# @mem0/n8n-nodes-mem0
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This is an n8n community node that lets you use [Mem0](https://mem0.ai) — the memory layer for AI agents — in your n8n workflows.
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Mem0 gives your agents long-term memory: add memories from conversations, then search and recall them across sessions.
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[n8n](https://n8n.io) is a [fair-code licensed](https://docs.n8n.io/reference/license/) workflow automation platform.
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[Installation](#installation) · [Operations](#operations) · [Credentials](#credentials) · [Usage](#usage) · [Resources](#resources)
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## Installation
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Follow the [community nodes installation guide](https://docs.n8n.io/integrations/community-nodes/installation/) and install `@mem0/n8n-nodes-mem0`.
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## Operations
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The **Memory** resource supports:
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| Operation | Description | Endpoint |
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| --- | --- | --- |
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| **Add** | Extract and store memories from messages | `POST /v3/memories/add/` |
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| **Search** | Semantic search over stored memories | `POST /v3/memories/search/` |
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| **Get Many** | List memories for a user (single page, or **Return All**) | `POST /v3/memories/` |
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| **Get** | Retrieve a single memory by ID | `GET /v1/memories/{id}/` |
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| **Update** | Update a memory's text or metadata | `PUT /v1/memories/{id}/` |
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| **Delete** | Delete a single memory by ID | `DELETE /v1/memories/{id}/` |
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### Add & asynchronous extraction
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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.
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Two independent controls:
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- **Wait for Completion** (on by default) decides whether the node polls. Turn it off to return immediately with the event ID.
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- **Infer** (on by default, under Additional Fields) decides whether the API runs LLM extraction at all. Turn it off to store the messages verbatim.
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**Custom Instructions** and **Custom Categories** (also under Additional Fields) steer what extraction keeps for that call.
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## Credentials
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You need a Mem0 API key. Create one at [app.mem0.ai](https://app.mem0.ai) → Settings → API Keys. The key is sent as `Authorization: Token <key>`.
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## Usage
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This node is also **usable as a tool** by n8n's AI Agent node — attach it so an agent can "remember" and "recall" autonomously.
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A typical loop:
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1. **Search** memory before answering, filtered by `User ID`.
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2. **Add** durable facts after a meaningful exchange.
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Memory writes are asynchronous by default; allow a moment after an Add before searching for the same content.
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## Telemetry
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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.
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## Resources
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- [Mem0 documentation](https://docs.mem0.ai)
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- [n8n community nodes documentation](https://docs.n8n.io/integrations/community-nodes/)
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## License
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[Apache-2.0](./LICENSE)
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