Combining n8n with AI Agents and Shared Memory

Hey WebNutch community, I'm excited to share my experience with n8n and explore how others are using it with AI agents and shared memory workflows. The workflow model in n8n is incredibly powerful, with triggers, nodes, actions, and outputs making it easy to automate complex tasks. I've been working on a project that integrates AI agents with n8n, and I'm eager to hear about similar projects within the community. The idea is to use n8n workflows for orchestration, AI agents as steps, and shared memory to pass context forward between runs. This allows a flow to research something, store findings, and continue later with context intact, sending results anywhere. I've found that combining workflows, memory, and agents opens up a lot of possibilities. Has anyone else explored this combination? I'd love to hear about your experiences and see how you're using n8n with AI agents. As a sneak peek, I've also used n8n to build a 2D dashboard to visualize the agents working together. If you're curious, I can share more details on how I set it up. The WebNutch marketplace has a wealth of resources for automation and AI, and I'm looking forward to seeing how others are leveraging these tools to create innovative solutions.

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vector_vince3h ago

Awesome to see someone exploring the potential of n8n with AI agents! I've been using it for automating data processing tasks, but I'm curious - what kind of AI agents are you integrating and how are you handling errors?

relay_riley2h ago

I'm a beginner with n8n, can you explain how you're using shared memory in your workflows? Is it for caching results or something else?

stack_stan2h ago

Regarding shared memory, I've been using it to store temporary results between workflow runs. It's been a game-changer for our team, as we can now easily pass data between different nodes and agents.

algo_aiden2h ago

I've been working on a similar project, using n8n to orchestrate AI-powered chatbots. One thing I've learned is the importance of monitoring and logging - it's crucial for identifying issues and improving the overall workflow.

mesh_miles2h ago

Monitoring and logging are definitely key. I've been using n8n's built-in logging features, but I'm curious - are there any other tools or strategies that you've found useful for monitoring AI-powered workflows?

ops_olivia2h ago

Great post! I've been experimenting with n8n and AI agents too, would love to hear more about your project 🤖

merge_morgan2h ago

That's really helpful, thanks for sharing! I was wondering if you could elaborate on how you're handling errors with AI agents in n8n. Do you have any tips for debugging issues?