Super WhatsApp Agent 🤖📱

This content originally appeared on DEV Community and was authored by Amira Adel

🎥 Demo Video
https://youtu.be/aNxPuhJyGa8

🚀 Super WhatsApp Agent – Project Overview

Super WhatsApp Agent is an intelligent multi-modal assistant built with n8n, Bright Data, and OpenAI.
It runs inside WhatsApp and can understand text, voice, and image messages, then respond in the most natural way.

🧠 What the Agent Can Do
1) Text Messages

You can type a question like "What’s new with n8n?"

The Orchestrator routes it to the Search Agent.

The Search Agent uses Bright Data + Google/Wikipedia to fetch real-time news.

The agent replies back with the latest updates in text.

2) Voice Messages

You can record a voice message like "Tell me the latest updates from Anthropic."

The system:

Transcribes the audio to text.

Searches the web using Bright Data.

Replies back with audio (Text-to-Speech).

✅ Demonstrates voice in → voice out workflow.

3) Email Agent

You can say: "Send an email to Sarah about tomorrow’s meeting."

The Gmail Agent creates and sends the email automatically.

✅ A clear business productivity use case.

4) Calendar Agent

Example: "What’s on my schedule tomorrow?"

The agent checks Google Calendar and replies with your events.

✅ Helps with time management.

5) Social Media Agent

You say: "Post on Twitter: Excited about our new launch!"

Instead of posting directly, the system logs the post in Google Sheets.

✅ Creative + safe way to handle social media automation.

6) Image Understanding

You send an image (for example, a photo with text).

The system uses an image analysis model to describe the picture and understand any caption.

✅ Adds multi-modal vision capability.

🌍 Bright Data Integration (Key Part of the Project)

Bright Data is used as a real-time data source inside the agent.
Unlike static APIs, it can extract structured, up-to-date information from the web.

In the demo:

When asked "What’s new with n8n?" → Bright Data fetched live results.

When asked "Latest update from Anthropic?" → Bright Data provided structured web data.

This makes the agent smarter, more accurate, and more useful in real-world scenarios.

🏗️ Architecture

User Message on WhatsApp (Text, Voice, or Image).

Pre-processing:

Voice → Transcription

Image → Analysis

Orchestrator Agent decides where to route:

📧 Gmail Agent

📅 Calendar Agent

🌍 Search Agent (with Bright Data)

🐦 Social Media Agent

🎙️ TTS Agent

Response Formatter → Reply to WhatsApp (Text or Voice).

💡 Why This Project Stands Out

Multi-modal (text, voice, images).

Bright Data real-time scraping → more powerful than simple search APIs.

Practical use cases: email, calendar, social media, web search.

Built with n8n → reproducible workflow + easy to extend.

Clear demo video showing all agents in action.

✅ Summary

Super WhatsApp Agent is more than a chatbot – it’s a personal productivity assistant inside WhatsApp.
It combines n8n workflows, Bright Data real-time web scraping, and OpenAI intelligence to deliver:

Smarter answers

Automated workflows

Multi-modal support

Real business and personal value

📂 Resources

• GitHub Repo (workflow JSON + README): 👉 Super WhatsApp Agent

This content originally appeared on DEV Community and was authored by Amira Adel