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AI Agent Tools and Frameworks

Author

Listed:
  • Ken Huang

    (DistributedApps.ai)

  • Jerry Huang

    (The University of Chicago)

Abstract

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.

Suggested Citation

  • Ken Huang & Jerry Huang, 2025. "AI Agent Tools and Frameworks," Progress in IS,, Springer.
    • Handle: RePEc:spr:prochp:978-3-031-90026-6_2
    DOI: 10.1007/978-3-031-90026-6_2
    as

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