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This chapter presents a systematic examination of AI agent architectures, frameworks, and tools through a novel seven-layer model. The chapter introduces and analyzes the Seven-Layer AI Agent Architecture, from foundation models to the agent ecosystem, providing a structured approach to understanding and implementing AI agent systems. It offers detailed comparisons of leading AI agent frameworks including AutoGen, LangGraph, LlamaIndex, and AutoGPT, along with other emerging frameworks and their specific capabilities. The chapter also addresses critical challenges in implementing AI agent frameworks, including security, compliance, scalability, and data quality concerns, providing practical insights for the deployment of AI agent solutions.

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AI Agent Tools and Frameworks

  • 章节

  • 发表日期：

    2025年

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  • Ken Huang,
  • Jerry Huang

摘要

This chapter presents a systematic examination of AI agent architectures, frameworks, and tools through a novel seven-layer model. The chapter introduces and analyzes the Seven-Layer AI Agent Architecture, from foundation models to the agent ecosystem, providing a structured approach to understanding and implementing AI agent systems. It offers detailed comparisons of leading AI agent frameworks including AutoGen, LangGraph, LlamaIndex, and AutoGPT, along with other emerging frameworks and their specific capabilities. The chapter also addresses critical challenges in implementing AI agent frameworks, including security, compliance, scalability, and data quality concerns, providing practical insights for the deployment of AI agent solutions.