A: Hey CyberStrategy1,

That's a really interesting question about leveraging your existing n8n JSON workflow definitions!

While you cannot directly import an n8n JSON file into AgenticFlow and have it automatically convert into a native AgenticFlow workflow diagram or agent setup, here's how our platform (and specifically our upcoming in-house AI co-pilot, "MiaCopilot") can help you achieve a similar outcome or significantly speed up the recreation process:

Current Approach & How "MiaCopilot" (Our In-House AI Assistant) Will Help:

1. Understanding the n8n JSON:

The n8n JSON file describes the nodes, their configurations, and how they're connected in n8n's specific format. AgenticFlow has its own internal structure for workflows and agents.

2. MiaCopilot's Role (Future Vision - What I was demoing during Office hours last Tuesday): https://youtu.be/Su6K_3VWHXw?si=kT2mGYXoqgQqSPFl&t=2007

The vision for MiaCopilot (our internal AI assistant for using AgenticFlow, which is on our roadmap: https://agenticflow.featurebase.app/p/in-house-ai-agent-co-pilot) is that you could indeed paste or describe your n8n workflow (or even share the JSON conceptually) and ask:

"Mia, I have this n8n workflow that does X, Y, and Z using these tools [describe tools/APIs]. Can you help me build the equivalent in AgenticFlow?"

MiaCopilot, being an expert on AgenticFlow's capabilities, would then:

- Suggest the equivalent AgenticFlow nodes or MCP connections.
- Help you outline the steps for an AgenticFlow workflow or agent.
- Potentially even draft parts of the prompts or configurations needed for those steps.

The video you might have seen (where I showed MiaCopilot taking a JSON example and building something) was likely an internal demo showcasing this future capability of our AI co-pilot to understand a described process (even if described via another tool's JSON structure) and guide the user in recreating it within AgenticFlow.

2. Manual Recreation with AI Assistance (What you can do NOW):

Analyze your n8n JSON: Understand the core logic: What are the trigger(s)? What apps are involved? What data is being passed? What actions are being taken?

3. Find AgenticFlow Equivalents:

For each n8n node/app, find the corresponding AgenticFlow MCP (https://agenticflow.ai/mcp) or built-in node (e.g., LLM, API Call, Web Scraper).

If a direct MCP isn't there but the service has an API, you'll use the API Call node.

Build in AgenticFlow: Recreate the logic step-by-step in our Workflow builder or by instructing an Agent.

Use an LLM for Logic Translation: You can even paste snippets of your n8n JSON (especially the configuration parts for specific nodes) into an LLM node within AgenticFlow and ask: "This n8n node configuration does [describe its function]. What's the equivalent way to set up an AgenticFlow API Call node (or instruct an Agent with an MCP) to achieve the same outcome with [service name]?"

In Short:

- No direct JSON import/conversion: AgenticFlow doesn't "read" n8n JSONs to auto-build workflows.
- MiaCopilot (Near Future): Our planned in-house AI assistant will be able to understand your described n8n flow (even conceptually from the JSON) and guide you in rebuilding it.
- Current Method: Manually translate the logic of your n8n workflow into AgenticFlow, using our nodes and MCPs. You can use our existing LLM nodes to help "translate" parts of the logic or configurations if you describe what the n8n JSON is trying to do.

If you have a specific n8n JSON you're looking to replicate, feel free to share a general description of its function in our community (community.agenticflow.ai), and we can give you pointers on the best AgenticFlow approach!

Thanks for asking – it's a great question about interoperability!
— Sean