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Prerequisites\n- Python 3.8+\n- API keys for [Groq](https://console.groq.com/) and [Tavily](https://tavily.com/)\n- Install dependencies:\n  ```bash\n  python -m venv .venv\n  source .venv/Scripts/activate  # Windows\n  pip install -r requirements.txt\n  cp .env.example .env  # and fill in your API keys\n  ```\n\n### 2. Running Each Implementation\n\n#### CrewAI\n```bash\ncd crewai\npython main.py\n```\n- **Prompt:** Enter a stock ticker (e.g. NVDA, AAPL)\n- **Output:** Executive summary and recommendation\n\n#### LangGraph\n```bash\ncd langgraph\npython main.py\n```\n- **Prompt:** Enter a stock ticker\n- **Output:** Analysis and recommendation\n\n#### AutoGen\n```bash\ncd autogen\npython main.py\n```\n- **Prompt:** Enter a stock ticker\n- **Output:** Analyst/Researcher group chat, final report\n\n---\n\n## 🧩 Framework Comparison Table\n\n| Feature                | CrewAI                | LangGraph                | AutoGen                  |\n|------------------------|----------------------|--------------------------|--------------------------|\n| **Orchestration**      | Sequential pipeline  | State graph (DAG)        | Group chat (conversational) |\n| **Agent Roles**        | Explicit, role-based | Node-based, flexible     | Conversational, flexible |\n| **Task Flow**          | Linear, step-by-step | Custom graph transitions | Multi-turn dialogue      |\n| **Extensibility**      | Add agents/tasks     | Add nodes/edges          | Add agents, chat logic   |\n| **Best For**           | Business workflows   | Complex dependencies     | Dynamic collaboration    |\n| **Code Structure**     | agents.py, tasks.py, tools.py | nodes.py, state.py, tools.py | agents.py, workflow.py, config.py |\n| **Learning Curve**     | Low/Medium           | Medium/High              | Medium                   |\n| **Output**             | Executive report     | Analysis + recommendation| Chat log + report        |\n\n\n---\n\n## 🛠️ How to Extend\n- **Add new data sources:** Edit `tools.py` in any framework\n- **Change agent logic:** Edit `agents.py` or `nodes.py`\n- **Add new analysis steps:** Add new tasks/nodes/agents as appropriate\n\n---\n\n## 📚 Further Reading\n- [CrewAI Documentation](https://docs.crewai.com/)\n- [LangGraph Documentation](https://langchain-ai.github.io/langgraph/)\n- [AutoGen Documentation](https://microsoft.github.io/autogen/)\n\n---\n\n**This project is a reference for anyone looking to build modular, multi-agent systems in Python using modern frameworks.**\n","readmeExcerpt":"AI Agent Frameworks Comparison: CrewAI vs LangGraph vs AutoGen This project demonstrates and compares three leading Python agent frameworks for orchestrating multi-agent financial analysis workflows: - **CrewAI**: Role-based, sequential agent orchestration - **LangGraph**: State-driven, graph-based agent workflows - **AutoGen**: Conversational, group-chat style agent collaboration All three frameworks are implemented","codeSnippets":[],"executableExamples":[{"language":"text","snippet":"ai-agent-comparision/\n├── crewai/      # CrewAI implementation\n├── langgraph/   # LangGraph implementation\n├── autogen/     # AutoGen implementation\n├── requirements.txt\n├── .env.example\n└──  README.md"},{"language":"bash","snippet":"python -m venv .venv\n  source .venv/Scripts/activate  # Windows\n  pip install -r requirements.txt\n  cp .env.example .env  # and fill in your API keys"},{"language":"bash","snippet":"cd crewai\npython main.py"},{"language":"bash","snippet":"cd langgraph\npython main.py"},{"language":"bash","snippet":"cd autogen\npython main.py"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[],"languages":["python"],"docsSourceLabel":"GITHUB REPOS","editorialOverview":"A Python-based project comparing CrewAI, LangGraph, and AutoGen by implementing the same stock analysis workflow across all three. 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