Request for guidance: Testing AI Agent with Simple Memory while n8n runs in queue mode

Feature Requests
1

Hi n8n team,

I’m currently running n8n in queue mode (self‑hosted) for my production environment. I’d like to test an AI Agent using the Simple Memory node (Window Buffer / Simple Memory) while queue mode is enabled.

According to the Simple Memory documentation, there is a clear limitation:

“Don’t use this node if running n8n in queue mode… this node doesn’t work in an active production workflow. This is because n8n can’t guarantee that every call to Simple Memory will go to the same worker.” [Simple Memory node]

I understand this restriction for active production workflows, but I have the following needs:

  1. Test / debug an AI Agent + Simple Memory while the system is running in queue mode.

  2. Find a recommended process (best practice) to:

    • Either safely test Simple Memory in an environment where queue mode is enabled, or

    • Set up a suitable test/staging environment (for example, a separate instance without queue mode) that still mirrors production, as your blog suggests for staging environments, though it doesn’t mention Simple Memory specifically. [Staging environment]

Could you please clarify:

  • Is there any official or recommended way to test an AI Agent with Simple Memory when the production system is running in queue mode?

  • If it’s required to separate environments (for example, a non–queue mode instance only for testing AI Agent + Simple Memory), can you:

    • Confirm that this is the recommended best practice, or

    • Provide more concrete guidance (for example, minimal configuration, how to keep workflows in sync between staging and production, etc.)?

If there is currently no official solution, I’d like to suggest:

  • Adding a documentation section like “Testing Simple Memory with queue mode enabled” to give clear guidance, or

  • Considering a memory mechanism that is queue‑mode compatible but as simple as Simple Memory, specifically for development and testing purposes.

Thank you for your time and for any guidance you can provide.

Best regards,

Nguyen Thieu Toan (Jay Nguyen - n8n creator at: nguyenthieutoan | n8n Creator