A comprehensive seminar and learning resource on Agent Oriented Programming (AOP), covering concepts, frameworks, and practical implementations.

• Overview
• Repository Structure
• Getting Started
• Seminar Materials
• Projects
• Resources
• Contributing

This repository contains educational materials and practical examples for learning Agent Oriented Programming - a paradigm shift from traditional software development to autonomous, intelligent software entities that can perceive, reason, and act independently.

• Core Concepts: Understanding agents, autonomy, and multi-agent systems
• Communication Technologies: MCP (Model Context Protocol) and A2A (Agent-to-Agent) communication
• Development Frameworks: LangChain, LangGraph, AutoGen, CrewAI, and more
• Practical Applications: Real-world examples in customer service, content management, and trading

📦 Agent Oriented Programming/
├── 📄 seminar-slides.md          # Complete seminar content in markdown
├── 📁 slides/                    # Interactive web presentation
│   ├── index.html               # Main presentation file
│   ├── styles.css               # Presentation styling
│   └── script.js                # Presentation functionality
└── 📁 projects/                 # Practical implementation examples
    └── personal_assistant/       # 🚧 Work in Progress
        ├── agents/              # Agent implementations
        └── mcp_servers/         # MCP server examples

Option 1: Web Presentation (Recommended)

1. Navigate to the slides/ directory
2. Open index.html in your web browser
3. Use arrow keys or navigation buttons to browse slides

Option 2: Markdown Format

• Open seminar-slides.md in any markdown viewer or text editor

The practical examples are designed to demonstrate real-world agent implementations:

# Navigate to project directory
cd "projects/personal_assistant"

# Follow individual project README files for setup instructions

1. Introduction to Agents

   • What are software agents?
   • Key characteristics and types
   • Agent vs. traditional programming

2. Agent Oriented Programming (AOP)

   • Core principles and mental models
   • Architecture patterns
   • Paradigm evolution

3. Traditional vs. Agentic Programming

   • System architecture comparison
   • Control flow differences
   • Benefits of the agentic approach

4. Communication Technologies

   • Model Context Protocol (MCP)
   • Agent-to-Agent (A2A) communication
   • Protocol selection guidelines

5. Development Frameworks

   • LangChain: Rapid LLM application development
   • LangGraph: Graph-based agent workflows
   • AutoGen: Conversational multi-agent systems
   • CrewAI: Role-based agent coordination

6. Practical Examples

   • Intelligent customer service system
   • Smart content management system
   • Real-time trading system

7. Best Practices & Next Steps

   • Design principles
   • Testing strategies
   • Monitoring and observability

A comprehensive multi-agent personal assistant system demonstrating:

• Agent Architecture: Modular agent design with specialized capabilities
• MCP Integration: Server implementations for external tool access
• A2A Communication: Inter-agent coordination and collaboration
• Real-world Applications: Calendar management, contact handling, and more

Status: 🔄 Active Development

Components:

• agents/: Core agent implementations
• mcp_servers/: MCP server examples (contacter service)
• subagents/: Specialized agent modules

Note: All projects in this repository are currently in development. They serve as educational examples and learning resources. Check individual project README files for current status and setup instructions.

• LangChain Documentation
• LangGraph Tutorials
• MCP Specification
• AutoGen Documentation
• CrewAI Documentation

• LangChain GitHub Repository
• LangGraph Examples
• AutoGen Examples
• MCP Servers
• Agent Development Patterns

1. Start with the seminar slides (slides/index.html)
2. Read through the markdown content (seminar-slides.md)
3. Explore the basic concepts and terminology

1. Dive into the practical examples in projects/
2. Study the MCP server implementations
3. Experiment with different communication patterns

1. Implement your own multi-agent system
2. Contribute to the existing projects
3. Explore advanced topics like agent learning and formal verification

We welcome contributions to improve the educational content and project examples!

• Documentation: Improve explanations, fix typos, add examples
• Code Examples: Add new agent implementations or improve existing ones
• Projects: Help complete the work-in-progress projects
• Resources: Suggest additional learning materials and references

1. Fork this repository
2. Create a feature branch (git checkout -b feature/amazing-improvement)
3. Make your changes
4. Submit a pull request

This project is intended for educational purposes. Please check individual project directories for specific licensing information.

Have questions or suggestions? Feel free to:

• Open an issue in this repository
• Contribute improvements via pull requests
• Share your own agent implementations

"The future of software development is not just about writing code—it's about creating intelligent entities that can think, learn, and collaborate."

Happy Agent Building! 🤖✨