# Mem0 Integration

**URL:** <https://community.n8n.io/t/mem0-integration/89749>\
**Category:** Nodes\
**Tags:** node\
**Created:** [March 18, 2025, 3:33pm UTC](https://community.n8n.io/t/mem0-integration/89749 "2025-03-18T15:33:16Z")\
**Posts on this page:** 4\
**Page:** 1

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**Author:** ![edvinPL](https://dub1.discourse-cdn.com/n8n/user_avatar/community.n8n.io/edvinpl/32/65794_2.png) [@edvinPL](https://community.n8n.io/u/edvinPL)\
**Post date:** [March 18, 2025, 3:33pm UTC](https://community.n8n.io/t/mem0-integration/89749/1 "2025-03-18T15:33:16Z")

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## It would help if there was a node for:

> **[Mem0 - The Memory Layer for your AI Apps](https://mem0.ai/)**
>
> Mem0 enables AI apps to continuously learn from past user interactions, enhancing their intelligence and personalization.

I could help in meet-up with founders. That is #5 trending on github right now.  
BIG thing for agentic memory.  
This should ship to n8n ASAP for major memory upgrade.  
Current memory processing is on the weaker side of n8n - compared to alternatives. Look at e.g. Flowise or more dedicated solutions with memory buffers based on summarization or other implementable long-term memory.

 ![image](https://europe1.discourse-cdn.com/n8n/original/3X/3/8/383125db6589c30793d0a77d6796d158d7a6bbed.jpeg)

## My use case:

I would use it for long-term context retention for AI to get to know the user better.

[![](https://europe1.discourse-cdn.com/n8n/original/3X/b/1/b1a3a3646aa9a9ddf21aa8b627efc58d4c6262f5.jpeg "Personalized Voice Agent Demo") ](https://www.youtube.com/watch?v=FR0yCDw29SI)

## Any resources to support this?

> **[Overview - Mem0](https://docs.mem0.ai/platform/overview)**
>
> Managed memory layer for AI agents - production-ready in minutes

## Are you willing to work on this?

I am a low-code person but I can assist as much as I can.

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**Author:** ![Maxime\_Prn](https://dub1.discourse-cdn.com/n8n/user_avatar/community.n8n.io/maxime_prn/32/72562_2.png) [@Maxime\_Prn](https://community.n8n.io/u/Maxime_Prn)\
**Post date:** [April 22, 2025, 1:38pm UTC](https://community.n8n.io/t/mem0-integration/89749/2 "2025-04-22T13:38:02Z")

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You can now use mcp to run Mem0 in your workflow:

> **[GitHub - coleam00/mcp-mem0: MCP server for long term agent memory with Mem0....](https://github.com/coleam00/mcp-mem0)**
>
> MCP server for long term agent memory with Mem0. Also useful as a template to get you started building your own MCP server with Python!

You will need to modify main.py to add the user\_id parameter, as is it will default user\_id to “user”

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**Author:** ![tester\_arb](https://dub1.discourse-cdn.com/n8n/user_avatar/community.n8n.io/tester_arb/32/58689_2.png) [@tester\_arb](https://community.n8n.io/u/tester_arb)\
**Post date:** [May 28, 2025, 5:25pm UTC](https://community.n8n.io/t/mem0-integration/89749/3 "2025-05-28T17:25:01Z")

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My understanding is you cannot run these packages inside of n8n cloud. How would you go about integrating mem0 to the server node for MCP within n8n?

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**Author:** ![davud\_hosseiny](https://dub1.discourse-cdn.com/n8n/user_avatar/community.n8n.io/davud_hosseiny/32/113750_2.png) [@davud\_hosseiny](https://community.n8n.io/u/davud_hosseiny)\
**Post date:** [September 17, 2025, 9:55am UTC](https://community.n8n.io/t/mem0-integration/89749/4 "2025-09-17T09:55:57Z")

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why mcp and why not a memory node for agent?