Welcome to a curated collection of agentic AI projects built using CrewAI. Each folder in this repository represents a complete AI crew built for specific real-world tasks, ranging from coding automation to financial research and structured debates.
Project Name Description
- coder Takes a programming question, writes the corresponding Python code, executes it, and returns the output. Great for auto-coding and quick debugging.
- engineering_team Given a high-level task or feature, this crew builds a full-stack application – frontend, backend, and unit tests. Ideal for rapid prototyping.
- financial_researcher Researches and summarizes the financial background of a company, including trends, ratios, competitors, and outlook. Perfect for investors or analysts.
- my_crew A structured debate system with agents that argue for and against a topic and a judge agent that evaluates and decides the stronger side. Excellent for critical thinking tasks.
- stock_picker Analyzes a given sector and recommends top-performing stocks using recent data and reasoning. Useful for traders, investors, or research assistants.
All projects are built using CrewAI, a framework for building multi-agent collaborative systems.
LLM used can be OpenAI, Groq, Gemini, etc. depending on config.
You can plug in your own tools, agents, and workflows easily.