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If Hermes can call APIs and make decisions, why add n8n?

Hermes Only (Suitable for many AI products)

Niraj Paul · 2026-07-02 11:49 · 3 claps · 1.8 min read paywalled
#ai-agent #ai #hermes-agent #hermes
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Wiki topics: AGT · AI Agents AI · AI · General

If Hermes can call APIs and make decisions, why add n8n?

Hermes Only (Suitable for many AI products)

Suppose you expose these tools to Hermes:

searchOrder()
checkShipment()
refundOrder()
notifyWarehouse()
sendEmail()

The interaction is:

User:
"My package hasn't arrived and I want a refund."
↓
Hermes thinks
↓
searchOrder()
↓
checkShipment()
↓
refundOrder()
↓
notifyWarehouse()
↓
sendEmail()
↓
Done

This works well. No n8n required.

This is how many modern AI agent applications are built.

Then why does n8n exist?

Because companies often already have hundreds of existing business automations that don’t require AI.

For example:

Every night
↓
Download Shopify Orders
↓
Generate CSV
↓
Upload to S3
↓
Notify Finance

There’s no reasoning involved.

AI would just make this slower and more expensive.

Example: Employee Onboarding

Every new employee needs:

Create Gmail
↓
Create Slack
↓
Create Jira
↓
Add to Payroll
↓
Send Welcome Email

This happens exactly the same every time.

No AI is needed.

A workflow engine is a better fit.

Where Hermes shines

Now imagine the employee asks:

“I’m joining next Monday. I don’t have a Mac yet. Can you help?”

Now the AI must decide:

  • Check hardware inventory.
  • Read onboarding documentation.
  • Open an IT ticket.
  • Notify the manager.
  • Book orientation sessions.

That requires reasoning.

Another example

Imagine you run NexaraAI.

A customer says:

“Create an invoice for Acme Corp, send it, remind them in 7 days if unpaid, and notify me when payment arrives.”

Hermes understands the intent.

But after that:

Today
↓
Generate Invoice
↓
Email Customer
↓
WAIT 7 DAYS
↓
Check Payment
↓
IF Paid
    Notify User
ELSE
    Send Reminder

That long-running, scheduled process is often better handled by a workflow engine than by keeping an AI agent active.

A good mental model

Think of Hermes as a CEO.

CEO
↓
"I need this done."
↓
Employees execute it.

Think of n8n as Operations.

Every morning
↓
Run Payroll
↓
Backup Database
↓
Sync CRM
↓
Generate Reports

Operations don’t need to “think”; they execute predefined processes reliably.

When not to use n8n

If you’re building:

  • AI coding assistant
  • AI research agent
  • AI customer support agent
  • AI personal assistant
  • AI travel planner
  • AI sales agent

and Hermes can call APIs directly, you can skip n8n entirely.

Many startups do exactly that.

When n8n adds value

Use n8n if you need:

  • Hundreds of prebuilt integrations.
  • Non-developers to create and edit workflows visually.
  • Long-running workflows (hours, days, weeks).
  • Scheduled and recurring jobs.
  • Retry logic, monitoring, and audit trails for business processes.
  • Easy maintenance of complex automation without writing code.

So the question isn’t “Hermes or n8n?” It’s:

  • Need intelligent decisions? → Hermes.
  • Need repeatable business workflows? → n8n.
  • Need both? → Hermes decides what to do, while n8n executes long-running or standardized workflows where it provides operational advantages.

Thank you


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