Awesome Agent Quickstart
Helloworld for agentic frameworks, minimial but runnable! LangGraph, Agno, AutoGen, Smolagents, OpenAI Agents, etc.
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awesome-agent-quickstart
Your fast lane to AI Agent development!
This repository helps you bypass setup complexities and dive straight into latest AI Agent frameworks. Go from zero to running your first agent in minutes, whether you're interested in LangGraph, AutoGen, Smolagents, or other popular frameworks.
π― Features
- β‘ Zero configuration needed - get started in minutes
- π Learn by example - all examples are runnable
- π Model-agnostic - support any LLM
- π οΈ Centralized configuration - shared settings across framework
π Supported Frameworks
Ready-to-run templates for:
Flow control
- LangChain
- LangGraph (Python&JS)
- Smolagents
Role-playing
- LangGraph-Swarm
- OpenAI Swarm
- AutoGen
- CrewAI
- OpenAI Agents SDK
Tools
- LangChain MCP Adapters
- Browser-use
π Project Structure
Each directory is a self-contained example of an agent framework. For example:
awesome-agent-quickstart/
βββ langgraph/ # Framework name
β βββ config.py # Common configurations (model params, API settings&checking)
β βββ helloworld.py # Basic example: Simple conversational agent
β βββ requirements.txt # Dependency management
β βββ .env.example # Environment variables template
β βββ READIT.md # The framework's original README
β βββ README.md # A step by step guide to use the framework
π Setup
Since some frameworks reply on the latest Python features, we recommend create a virtual environment:
conda create -n agents-quickstart python=3.13
conda activate agents-quickstart
π€ Contributing
Contributions for more agent framework examples are welcome! Please ensure:
- Create examples under the respective framework directory
- Use common configurations from
config.py - Provide clear documentation and comments
- Include
requirements.txtand.env.example - Follow project code style and best practices
π Development Guidelines
-
Code Structure
- Follow modular design
- Separate configuration from logic
- Include proper error handling
- Keep dependency files up-to-date
-
Documentation
- Add docstrings for main functions and classes
- Include usage examples
- Explain key concepts and design decisions
-
Security
- Use environment variables for sensitive data
- Include rate limiting considerations
- Add proper input validation
See Contributing Guidelines for more details.
π License
MIT License - see LICENSE
π Community
- β Star us on GitHub
- π Report issues
- π§ Contact: ababai.ai@outlook.com
π Acknowledgments
Made with β€οΈ by the AI community, for the AI community.
- Thanks to all contributors!
- Thanks to the framework development teams!
- Thanks to the LLM community!
