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Multi-agent personal assistant orchestration with GPT-4o & WhatsApp

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Multi-agent personal assistant orchestration with GPT-4o & WhatsApp preview
Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Description 'Elena AI' is a powerful n8n workflow that transforms your automation platform into a full fledged, multi agent AI hub. By combining Redis state management with specialized β€œtool” s...

Best for

  • Support Chatbot automation workflows
  • AI Chatbot automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.redis, n8n-nodes-base.wait, n8n-nodes-base.if, n8n-nodes-base.noop, n8n-nodes-base.set, n8n-nodes-base.httprequest, n8n-nodes-base.converttofile, n8n-nodes-base.switch

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Amanda Benks.

Original n8n.io source

1.1 Workflow description

Title
Multi-agent personal assistant orchestration with GPT-4o & WhatsApp
Workflow name
Multi-agent personal assistant orchestration with GPT-4o & WhatsApp

Description

'Elena AI' is a powerful n8n workflow that transforms your automation platform into a full-fledged, multi-agent AI hub. πŸ€–βœ¨ By combining Redis state management with specialized β€œtool” sub-workflows, you can build contextual, scalable, and highly personalized conversational automations for WhatsApp, Telegram, email, and more.

πŸ”₯ Key Features

  • Unified Ingestion πŸ“₯
    β€’ Webhook trigger for text, audio, image, or document messages
    β€’ Automatic extraction of remoteJid, user ID, and payload metadata
  • Stateful Context πŸ”„
    β€’ Redis push/get queue to preserve conversation history
    β€’ Seamless handling of follow-ups and multi-turn dialogs
  • Dynamic Routing πŸ”€
    β€’ Smart Switch logic directs messages to the right agent workflow
    β€’ Agents available:
    • πŸ—“οΈ Malu: Google Calendar scheduling & reminders
    • πŸ’° Maria: Expense logging & budget tracking in Baserow
    • πŸ‘₯ Mafalda: Contact CRUD operations in Baserow
    • πŸ“Έ Marcela: Audio transcription & image analysis
    • βœ‰οΈ Martina: Gmail send/receive & template replies
  • Bite-Sized Responses βœ‚οΈ
    β€’ Splits long AI replies into line-by-line messages
    β€’ Loop node controls rate & order for best UX
  • Flexible Output πŸ“€
    β€’ HTTP Request node to deliver text, media, or files
    β€’ Customize headers, payloads, and endpoints

🎯 Use Cases

  • AI-powered customer support bots
  • Automated lead qualification & follow-up
  • Intelligent scheduling & reminders
  • Expense approval workflows
  • Multimedia content analysis & response

πŸ“‹ Requirements

  • n8n β‰₯ 1.0 with Webhook, Redis, SplitInBatches, HTTP Request & Workflow nodes
  • Redis server (connection credentials in n8n)
  • Service accounts / API keys for:
    • Google Calendar (OAuth2)
    • Baserow (API token)
    • Gmail (OAuth2)
    • Messaging API endpoint (HTTP)
  • Environment variables set in n8n:
    • REDIS_HOST, REDIS_PORT, REDIS_PASSWORD
    • GOOGLE_CLIENT_ID, GOOGLE_CLIENT_SECRET
    • BASEROW_API_TOKEN
    • GMAIL_CLIENT_ID, GMAIL_CLIENT_SECRET
    • MSG_API_URL, MSG_API_KEY

πŸš€ Quick Start

  1. Import the ElenaAI.json into n8n.
  2. Configure credentials and environment variables under Settings β†’ Credentials.
  3. Link sub-workflows (Malu, Maria, Mafalda, Marcela, Martina) by updating their Workflow IDs in the main node.
  4. Test via Execute node or send a sample webhook payload.
  5. Deploy by exposing the Webhook endpoint to your messaging platform.

Unlock seamless, AI-driven conversations across any channelβ€”get MavenBot 2.0 running in minutes! πŸš€

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Redis

Type / Role
n8n-nodes-base.redis - redis
Config choices
Version 1

Block 2 - Wait

Type / Role
n8n-nodes-base.wait - wait
Config choices
Version 1.1

Block 3 - Redis1

Type / Role
n8n-nodes-base.redis - redis
Config choices
Version 1

Block 4 - If

Type / Role
n8n-nodes-base.if - if
Config choices
Version 2.2

Block 5 - No Operation, do nothing

Type / Role
n8n-nodes-base.noOp - noOp
Config choices
Version 1

Block 6 - Edit Fields1

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 7 - Responde texto

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 8 - Redis2

Type / Role
n8n-nodes-base.redis - redis
Config choices
Version 1

Block 9 - Convert to File

Type / Role
n8n-nodes-base.convertToFile - convertToFile
Config choices
Version 1.1

Block 10 - Edit Fields

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 11 - Convert to File1

Type / Role
n8n-nodes-base.convertToFile - convertToFile
Config choices
Version 1.1

Block 12 - Edit Fields3

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 13 - Switch

Type / Role
n8n-nodes-base.switch - switch
Config choices
Version 3

Block 14 - Switch1

Type / Role
n8n-nodes-base.switch - switch
Config choices
Version 3.2

Block 15 - Responde imagem

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 16 - Responde pdf

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 17 - Responde vΓ­deo

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 18 - Edit Fields4

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 19 - Edit Fields5

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 20 - Split Out

Type / Role
n8n-nodes-base.splitOut - splitOut
Config choices
Version 1

Block 21 - Loop Over Items

Type / Role
n8n-nodes-base.splitInBatches - splitInBatches
Config choices
Version 3

Block 22 - Replace Me

Type / Role
n8n-nodes-base.noOp - noOp
Config choices
Version 1

Block 23 - Wait1

Type / Role
n8n-nodes-base.wait - wait
Config choices
Version 1.1

Block 24 - VariΓ‘veis Globais

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Showing the first 24 of 49 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow Multi-agent personal assistant orchestration with GPT-4o & WhatsApp
Complexity advanced
Nodes 49
Categories Support Chatbot, AI Chatbot
Author Amanda Benks
Published 27 Jun 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/5415/5415.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Multi-agent personal assistant orchestration with GPT-4o & WhatsApp do?

Description 'Elena AI' is a powerful n8n workflow that transforms your automation platform into a full fledged, multi agent AI hub. By combining Redis state management with specialized β€œtool” s...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Support Chatbot, AI Chatbot use case.