# Voice activated multi-agent demo for Vagent.io with Notion: n8n workflow

> Started by someone opening a chat with it. It calls services over plain HTTP rather than through connectors.

Source: https://millionrounds.com/workflow/voice-activated-multi-agent-demo-for-vagent-io-with-notion (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [Scheduling](https://millionrounds.com/workflows?category=Scheduling#library)

# Voice activated multi-agent demo for Vagent.io with Notion

Started by someone opening a chat with it. It calls services over plain HTTP rather than through connectors. It puts OpenAI behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 24 steps: large, and worth reading before you trust it with anything live.

Large Calls a model: OpenAI Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fvoice-activated-multi-agent-demo-for-vagent-io-with-notion)

**24 steps** Large: read it before trusting it with anything live

**0** Branches: places the flow splits

**0** Loops or waits

**0** Services by connector: it calls them over plain HTTP

## The flow

Starts it 3 Model 14 Logic 7

The steps in the order they run, from what starts it.

- 1 **OpenAI Chat Model2** Lm Chat Open Ai *Model*
- 2 **calendarAgent** Tool Workflow *Model*
- 3 **When chat message received** Chat trigger *Starts it*
- 4 **taskAgent** Tool Workflow *Model*
- 5 **Window Buffer Memory** Memory Buffer Window *Model*
- 6 **OpenAI Chat Model** Lm Chat Open Ai *Model*
- 7 **HTTP Request** Tool Http Request *Model*
- 8 **Settings** Set *Logic*
- 9 **Window Buffer Memory1** Memory Buffer Window *Model*
- 10 **Get calendar availability** Tool Http Request *Model*
- 11 **Book appointment** Tool Http Request *Model*
- 12 **OpenAI Chat Model1** Lm Chat Open Ai *Model*
- 13 **Settings1** Set *Logic*
- 14 **Window Buffer Memory2** Memory Buffer Window *Model*
- 15 **Webhook** Webhook *Starts it*
- 16 **Main Agent** Agent *Model*
- 17 **Map Fields1** Set *Logic*
- 18 **Notion Task Agent** Agent *Model*
- 19 **Google Calendar Agent** Agent *Model*
- 20 **Map Fields** Set *Logic*
- 21 **Exclude Previews from Speech** Set *Logic*
- 22 **Format output** Set *Logic*
- 23 **Format output1** Set *Logic*
- 24 **Respond to Webhook** Respond To Webhook *Starts it*

## How it's built

- **Starts on:** Someone opening a chat with it
- **Steps:** 24
- **Size:** Large: read it before trusting it with anything live
- **Connects to:** Nothing by connector; it calls services over plain HTTP
- **Model:** OpenAI
- **Retrieval:** Answers are drawn from documents you supply, not from the model alone

## Questions

What does it need to run?

An n8n account, and a key for OpenAI. You connect your own accounts after importing it; none are included.

What starts it?

It starts on someone opening a chat with it.

Does it use AI?

Yes. It calls OpenAI. Its answers draw on documents you give it, not on the model alone. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Take your time. At 24 steps it is large: read it before trusting it with anything live.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

**Before you run it**

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 24 steps before you point it at anything that matters.

## Run it in n8n

- **Create your n8n account** Free to start. n8n is where the workflow runs. [Create an n8n account ↗](https://millionrounds.com/n8n)
- **Download the workflow** Free with a Millionrounds account. [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fvoice-activated-multi-agent-demo-for-vagent-io-with-notion)
- **Paste it into n8n** Open a new workflow in n8n and paste. Then connect your own accounts.

Stored with the author's traces removed: canvas notes, instance identifiers, saved credential names and any live document they had left behind.

## Workflows like it

Also scheduling, with the same services where possible, closest in size first.

- [**AI Timesheet Generator with Gmail and Calendar** 24 steps · calls a model · GitHub, Gmail](https://millionrounds.com/workflow/ai-timesheet-generator-with-gmail-and-calendar)
- [**Agent personnel with OpenAI and Gmail** 24 steps · calls a model · Gmail, Google Calendar](https://millionrounds.com/workflow/agent-personnel-with-openai-and-gmail)
- [**Automate meeting summaries from Fireflies transcripts** 24 steps · calls a model · Gmail](https://millionrounds.com/workflow/automate-meeting-summaries-from-fireflies-transcripts)
- [**Automate tenant rent collection with Sheets and Gmail** 24 steps · calls a model · Gmail, Google Sheets](https://millionrounds.com/workflow/automate-tenant-rent-collection-with-sheets-and-gmail)
- [**Deploy a Google Gemini AI assistant on WhatsApp with Gmail** 24 steps · calls a model · Gmail, Google Calendar](https://millionrounds.com/workflow/deploy-a-google-gemini-ai-assistant-on-whatsapp-with-gmail)
- [**Handle healthcare appointments on WhatsApp with Gemini** 24 steps · calls a model · Google Calendar, Google Sheets](https://millionrounds.com/workflow/handle-healthcare-appointments-on-whatsapp-with-gemini)