WebMaintX is an autonomous AI agent designed to automate webpage maintenance tasks using Large Language Models (LLMs). It autonomously analyzes webpages, detects issues, and executes maintenance tasks with minimal human intervention—perfect for large-scale, dynamic websites.
"Keeping your webpages fresh, optimized, and error-free—effortlessly!"
✅ Content Updates: Automatically detects outdated content and updates it using APIs/databases.
✅ SEO Optimization: Enhances metadata, keywords, and structure to boost rankings.
✅ Error Fixing: Identifies & repairs broken links, formatting issues, and technical errors.
✅ Content Generation: Suggests or creates missing webpage sections.
✅ Performance Monitoring: Analyzes metrics & provides actionable insights.
| Component | Description |
|---|---|
| LLM Foundation | Uses open-source models like Meta Llama 3.3, DeepSeek-R1. |
| Cyclical Reasoning | Implements LangGraph for iterative workflow cycles. |
| Secure API Handling | Uses Model Context Protocol (MCP) for data security. |
| Web Analysis Tools | Integrates Selenium & BeautifulSoup for web analysis. |
| POM Architecture | Adapts the Page Object Model for structured webpage manipulation. |
# Clone the repository
git clone https://github.com/yourusername/webmaintx.git
cd webmaintx
# Create a virtual environment
python -m venv webagent-env
source webagent-env/bin/activate # Windows: webagent-env\Scripts\activate
# Install dependencies
pip install -r requirements.txt# Configure settings
cp config.example.yaml config.yaml
nano config.yaml # Edit your configurations
# Run the agent
python main.py --url https://example.com
# Batch process multiple pages
python batch_processor.py --sitemap https://example.com/sitemap.xml# Run test suite
python -m pytest tests/
# Test with dummy website
python test_agent.py --website test_website/webmaintx/
├── main.py # Main execution file
├── config.yaml # Configuration settings
├── requirements.txt # Dependencies
├── agent/ # Core AI agent modules
│ ├── llm_provider.py # LLM integration
│ ├── workflow.py # LangGraph workflows
│ ├── mcp_adapters.py # Secure API handling
├── analysis/ # Webpage analysis tools
│ ├── scraper.py # Web scraping utilities
│ ├── seo_analyzer.py # SEO improvement tools
│ ├── content_analyzer.py # Content optimization utilities
├── actions/ # Maintenance task handlers
│ ├── content_updater.py # Auto content updating logic
│ ├── link_fixer.py # Broken link repair module
│ ├── performance_monitor.py # Website performance tracker
└── test_website/ # Sample website for testing
🎥 Watch the Demo Video: Click Here
Contributions are welcome! Please read our CONTRIBUTING.md for guidelines.
This project is licensed under the MIT License - see the LICENSE file for details.
🔹 Developed for the Agent-X competition at Cognizance, IIT Roorkee.
🔹 Special thanks to LangChain, LangGraph, Selenium, and Open-Source LLM communities.