An intelligent AI-powered research agent that helps developers discover, analyze, and compare developer tools and technologies. Built with LangGraph, OpenAI GPT-4, and Firecrawl for comprehensive web research and analysis.
- Smart Tool Discovery: Automatically extracts relevant developer tools from web articles and documentation
- Comprehensive Analysis: Analyzes pricing models, tech stacks, API availability, and integration capabilities
- Developer-Focused: Tailored specifically for programmers and software engineers
- Interactive CLI: Easy-to-use command-line interface for quick research
- Structured Output: Clean, organized results with key information at a glance
- Python 3.12+
- LangGraph - Workflow orchestration
- LangChain + OpenAI GPT-4 - AI-powered analysis
- Firecrawl - Web scraping and search
- Pydantic - Data validation and modeling
- UV - Fast Python package manager
- Python 3.12 or higher
- OpenAI API key
- Firecrawl API key
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Clone the repository
git clone https://github.com/asheint/advanced-research-agent.git cd advanced-research-agent -
Install dependencies with UV
uv sync
-
Set up environment variables
Create a
.envfile in the root directory:OPENAI_API_KEY=your_openai_api_key_here FIRECRAWL_API_KEY=your_firecrawl_api_key_here
-
Run the application
uv run python main.py
Once running, simply enter your developer tools query:
🔍 Developer Tools Query: best database for python web apps
📊 Results for: best database for python web apps
============================================================
1. 🏢 PostgreSQL
🌐 Website: https://postgresql.org
💰 Pricing: Free
📖 Open Source: True
🛠️ Tech Stack: SQL, ACID, JSON, XML
💻 Language Support: Python, JavaScript, Java, Go, Rust
🔌 API: ✅ Available
🔗 Integrations: Django, SQLAlchemy, Prisma, Supabase
📝 Description: Advanced open-source relational database system
Developer Recommendations:
----------------------------------------
PostgreSQL is the best choice for Python web apps due to excellent SQLAlchemy integration and Django ORM support. It's completely free with enterprise-grade features. Main advantage is robust ACID compliance and JSON support for hybrid workloads.
- "best CI/CD tools for small teams"
- "python web frameworks comparison"
- "database hosting solutions"
- "API documentation tools"
- "monitoring tools for microservices"
The agent follows a structured workflow:
- Tool Extraction - Searches for articles and extracts relevant tool names
- Research - Gathers detailed information about each discovered tool
- Analysis - Uses structured AI analysis to extract key developer-relevant information
- Recommendations - Provides concise, actionable recommendations
advanced-research-agent/
├── src/
│ ├── __init__.py
│ ├── workflow.py # Main workflow orchestration
│ ├── models.py # Pydantic data models
│ ├── prompts.py # AI prompts and templates
│ └── firecrawl.py # Web scraping service
├── main.py # CLI application entry point
├── pyproject.toml # UV configuration
├── .env # Environment variables (create this)
├── .python-version # Python version specification
└── README.md # This file
OPENAI_API_KEY- Your OpenAI API key for GPT-4 accessFIRECRAWL_API_KEY- Your Firecrawl API key for web scraping
The agent uses GPT-4o-mini by default for cost efficiency. You can modify the model in src/workflow.py:
self.llm = ChatOpenAI(model="gpt-4o-mini", temperature=0.1)Contributions are welcome! This is an open-source project. Please feel free to:
- Report bugs
- Suggest new features
- Submit pull requests
- Improve documentation
This project is open source and available under the MIT License.
If you find this project helpful, consider supporting its development:
- Repository: https://github.com/asheint/advanced-research-agent
- Support: https://buymeacoffee.com/asheint
⭐ Star this repository if you find it helpful!