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AI Summary: A practical deep dive into building real-world multi-agent systems with modern LLM tooling.
AI Summary: A practical deep dive into building real-world multi-agent systems with modern LLM tooling.
This book provides a comprehensive guide to building AI agents powered by large language models, including multi-agent collaboration patterns. It covers modern protocols like MCP and explores how agents coordinate, plan, and execute tasks autonomously. The book emphasizes production-ready systems rather than toy examples. It also explores memory, retrieval, and tool integration in agent workflows. :contentReference[oaicite:1]{index=1}
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