Agent Design Patterns Complete Course

Systematically learn the core design patterns of AI Agents

Course Introduction

This tutorial systematically introduces 21 core design patterns for building AI Agents, from basics to advanced topics, from theory to practice, helping you comprehensively master the essence of Agent development.

Whether you're a developer just starting with AI Agents or an architect looking to deepen your understanding, this tutorial provides clear learning paths and practical design guidance.

Core Chapters

Part 1: Basic Patterns (Essential for Beginners)

This section covers the most fundamental and commonly used design patterns in Agent development, serving as the foundation for understanding advanced patterns.

• Chapter 1: Prompt Chaining - Decompose complex tasks into sequential subtasks
• Chapter 2: Routing - Dynamically select processing paths based on input
• Chapter 3: Parallelization - Process multiple independent tasks simultaneously for efficiency
• Chapter 4: Reflection - Agent self-evaluation and output quality improvement
• Chapter 5: Tool Use - Core mechanism for extending Agent capabilities

Part 2: Intermediate Patterns (Architecture Design)

After mastering basic patterns, this section helps you build more complex and intelligent Agent systems.

• Chapter 6: Planning - Formulate and execute multi-step plans
• Chapter 7: Multi-Agent Collaboration - Multiple Agents working together on complex tasks
• Chapter 8: Memory Management - Maintain and utilize contextual information
• Chapter 9: Learning and Adaptation - Agent's capability for continuous improvement

Part 3: Advanced Patterns (System Optimization)

Deep dive into advanced features and optimization strategies for Agent systems.

• Chapter 10: Model Context Protocol - Standardize Agent-Model interactions
• Chapter 11: Goal Setting and Monitoring - Define and track Agent goals
• Chapter 12: Exception Handling and Recovery - Build robust Agent systems
• Chapter 13: Human-in-the-Loop - Introduce human oversight at critical decision points
• Chapter 14: Knowledge Retrieval - Efficiently acquire and utilize external knowledge

Part 4: Practice Patterns (Production Deployment)

Focus on actual deployment, optimization, and maintenance of Agent systems.

• Chapter 15: Inter-Agent Communication - Information exchange mechanisms in multi-Agent systems
• Chapter 16: Resource-Aware Optimization - Balance performance and cost
• Chapter 17: Reasoning Techniques - Enhance Agent's logical reasoning capabilities
• Chapter 18: Guardrails and Safety Patterns - Ensure safe and controllable Agent behavior
• Chapter 19: Evaluation and Monitoring - Evaluate Agent performance and continuous monitoring
• Chapter 20: Prioritization - Manage priorities of multiple tasks and goals
• Chapter 21: Exploration and Discovery - Agent actively explores new knowledge and capabilities

Appendices

In-depth topics providing more practical guidance and tool introductions.

• Appendix A: Advanced Prompting Techniques - Advanced techniques to improve prompt effectiveness
• Appendix B: AI Agentic Interactions - Design patterns for Agent interactions with users and systems
• Appendix C: Quick Overview of Agentic Frameworks - Comparison and selection of mainstream Agent frameworks
• Appendix D: Building an Agent with Agentspace - Hands-on: Agentspace platform usage guide
• Appendix E: AI Agents on the CLI - Command-line Agent development and practice
• Appendix F: Under the Hood - Deep understanding of Agent system internals
• Appendix G: Coding Agents - Agents specialized for code generation and programming tasks

Target Audience

Programmers

• Learn how to build intelligent assistants and automation tools
• Master multi-Agent system design and implementation
• Understand Agent deployment and optimization in production environments

Researchers

• Deeply understand the theoretical foundations of Agent architecture
• Explore cutting-edge research directions in Agent systems
• Provide systematic references for academic research

Product Managers

• Understand AI Agent capabilities and application scenarios
• Design Agent-based product features
• Evaluate feasibility and cost of Agent solutions

Learning Recommendations

Foundation Path (1-2 weeks)

Suitable for beginners, recommended sequential learning:

1. Part 1: Basic Patterns (Chapters 1-5)
2. Appendix A: Advanced Prompting Techniques
3. Appendix C: Quick Overview of Agentic Frameworks

Intermediate Path (2-3 weeks)

Suitable for learners with some foundation:

1. Review Part 1 content
2. Part 2: Intermediate Patterns (Chapters 6-9)
3. Appendix B: AI Agentic Interactions
4. Practice a simple multi-Agent project

Advanced Path (3-4 weeks)

Suitable for learners seeking deep mastery:

1. Part 3: Advanced Patterns (Chapters 10-14)
2. Part 4: Practice Patterns (Chapters 15-21)
3. Appendices D-G: Practical Topics
4. Build a complete Agent system

Practice-Oriented

• Each chapter includes theoretical explanations and hands-on cases
• Recommended to practice while learning, applying theory to real projects
• Chapters can be skipped to learn specific patterns of interest directly

Related Resources

📥 PDF Offline Versions

If you prefer offline reading, we also provide complete PDF versions:

• Chinese PDF: agentic-design-patterns-chinese.pdf - Complete Chinese translation version
• Bilingual PDF: agentic-design-patterns-bilingual.pdf - Chinese-English bilingual version

PDF Download Page: assets/pdf/en/readme.md - Contains all PDF learning materials

Learning Recommendations:

• Beginners: Start with the Chinese PDF to establish overall understanding
• Advanced learners: Use bilingual version to deeply understand technical details
• Combine with this online tutorial for practical exercises

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GitHub Repositories

• Chinese Repository: https://github.com/xindoo/agentic-design-patterns
• English Repository: https://github.com/Mathews-Tom/Agentic-Design-Patterns

Recommended Tools

• Claude - Anthropic's AI assistant with powerful Agent capabilities
• LangChain - Popular Agent development framework
• AutoGPT - Autonomous Agent development platform

Learning Community

• GitHub Issues - Questions and discussions
• Code examples in each chapter - Hands-on learning

Version Notes

• This tutorial is based on the Agentic Design Patterns repository
• Continuously updated, suggestions and feedback welcome
• Content follows open source license, feel free to share and improve

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Start Learning: Recommended to begin with Chapter 1: Prompt Chaining, the foundation for understanding Agent workflows.

Quick Navigation: Check Appendix C: Quick Overview of Agentic Frameworks for a quick overview of mainstream Agent development frameworks.