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Multi-Agent AI Systems Engineering: Orchestrating Production Workflows with LangGraph, CrewAI, AutoGen, and MCP
Paperback
Series: Production AI Engineering
Publisher: Independently Published
Published: Jun 29 2026
Pages: 92
Weight: 0.30
Height: 0.19 Width: 6.00 Depth: 9.00
Language: English
Single prompt-response LLMs are no longer enough. The future of enterprise AI lies in Multi-Agent AI Systems Engineering-where specialized, autonomous agents collaborate, manage complex states, use advanced tools, and orchestrate sophisticated workflows to solve real-world problems.
This comprehensive, production-grade guide bridges the gap between theoretical AI concepts and enterprise-ready deployment. You will learn how to architect, secure, and scale multi-agent systems using the industry's leading frameworks: LangGraph, CrewAI, AutoGen, and the Model Context Protocol (MCP).
What You Will Master in This Book:- State Machine Workflows: Build reliable, stateful workflows with LangGraph, incorporating human-in-the-loop interventions.
- Role-Based Orchestration: Design autonomous teams with CrewAI using hierarchical task decomposition and event-driven flows.
- Conversational AI Architectures: Implement actor-model multi-agent communication with Microsoft's AutoGen.
- Standardized Tool Integration: Leverage Anthropic's Model Context Protocol (MCP) for seamless client-server tool connectivity.
- Enterprise-Grade Security: Mitigate prompt injection, manage PII, and implement strict AI governance frameworks.
- Production Deployment: Architect scalable, observable infrastructures with comprehensive testing, evaluation, and LLM monitoring.
Whether you are a software engineer, AI architect, or enterprise developer, this book delivers the exact blueprints, operational patterns, and code-first strategies required to build reliable, sovereign AI systems that drive actual business value. Stop prompting, start engineering.
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