🤖 AI Agent Frameworks

A hands-on comparison of modern AI agent and multi-agent frameworks. Get started with practical examples and explore the unique features of each framework.
Report Bug · Request Feature

This repository provides a comprehensive, hands-on comparison of modern AI agent and multi-agent frameworks. Each framework is explored through practical examples, highlighting its unique features, capabilities, and use cases.

🤖 Frameworks Included

Framework	Docs	Repository
Autogen
Google ADK
OpenAI Agents SDK
smolagents

📁 Structure

The repository is organized by framework, with each top-level folder containing examples, configuration, and a README.md for that framework. Examples range from simple agent tasks to advanced multi-agent workflows, RAG (Retrieval-Augmented Generation), API integration, and more.

Main modules:

• ag2/
• agno/
• autogen/
• crewai/
• google-adk/
• langgraph/
• llama-index/
• openai-agents-sdk/
• pydantic-ai/
• smolagents/
• study-agents-differences/

Some modules are standalone, while others are PDM projects or use requirements.txt for dependency management. Always check the README.md in each module for specific setup and usage instructions.

🚀 Getting Started

1. Choose a framework: Navigate to the relevant folder for the agent framework you want to explore.
2. Install dependencies: See each module’s README.md for installation instructions.
3. Run examples

---

🧪 Comparison and Experiments

The study-agents-differences/ folder contains comprehensive scripts and utilities for comparing frameworks on common tasks, including RAG, API integration, and multi-agent workflows. It provides:

• Unified agent interfaces for Agno, LangGraph, LlamaIndex, OpenAI, and Pydantic-AI
• Performance benchmarks measuring response time, token usage, and tool utilization
• Detailed results and analysis comparing different agent designs and tool integrations
• Interactive Streamlit UI for real-time comparison (streamlit run agent-ui.py)

---

🤝 Contributing

All contributions are welcome! If you have suggestions for new examples, frameworks to add, or improvements to existing content, please open an issue or submit a pull request.

---

Notes

• Some modules use PDM (pyproject.toml), others use requirements.txt. Check each module’s README.md for installation and usage.
• Install dependencies before running examples.
• Example .env.example files are provided where needed for API keys and settings.