🌐 Web-Agent

Web Agent is your intelligent browsing companion, built to seamlessly navigate websites, interact with dynamic content, perform smart searches, download files, and adapt to ever-changing pages — all with minimal effort from you. Powered by advanced LLMs and the robust Playwright framework, it transforms complex web tasks into streamlined, automated workflows that boost productivity and save time.

• Python 3.11 or higher
• Langgraph
• Playwright

Clone the repository:

git clone https://github.com/Jeomon/Web-Agent.git
cd Web-Agent

Install dependencies:

pip install -r requirements.txt

Setup Playwright:

playwright install

Setting up the .env file:

GOOGLE_API_KEY=""

Basic setup of the agent.

from src.inference.gemini import ChatGemini
from src.agent.web import WebAgent
from dotenv import load_dotenv
import os

load_dotenv()
google_api_key=os.getenv('GOOGLE_API_KEY')

llm=ChatGemini(model='gemini-2.0-flash',api_key=google_api_key,temperature=0)
agent=WebAgent(llm=llm,verbose=True,use_vision=False)

user_query=input('Enter your query: ')
agent_response=agent.invoke(user_query)
print(agent_response.get('output'))

Execute the following command to start the agent:

python app.py

Prompt: I want to know the price details of the RTX 4060 laptop gpu from varrious sellers from amazon.in

Prompt: Make a twitter post about AI on X

Prompt: Can you play the trailer of GTA 6 on youtube

Prompt: Can you go to my github account and visit the Windows MCP

This project is licensed under MIT License - see the LICENSE file for details.

Contributions are welcome! Please see CONTRIBUTING for setup instructions and development guidelines.

• Playwright Documentation
• LangGraph Examples
• vimGPT
• WebVoyager

For queries or support, please reach out via GitHub Issues.

E-mail: [email protected], [email protected]