agentic-design-patterns-book-rus  by pridees

A practical guide to building intelligent AI agent systems

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Project Summary

This repository provides the Russian translation of Antonio Gulli's "Agentic Design Patterns: A Hands-On Guide to Building Intelligent Systems." It addresses the design and development of agentic AI systems, offering practical patterns for specialized AI agents to collaborate on complex tasks. Targeted at AI developers, architects, and researchers, the book provides a structured approach from basic concepts to advanced techniques, enhancing the creation of intelligent, cooperative AI systems.

How It Works

The book details design patterns enabling specialized AI agents to work in concert, with each chapter exploring unique collaboration and interaction paradigms. It emphasizes a practical, hands-on approach, featuring real-world code examples and solutions. The methodology covers core concepts, advanced techniques, and multi-agent architectures, focusing on cooperation and coordination, and highlights modern technologies like LangChain, CrewAI, RAG, and MCP for building intelligent systems.

Quick Start & Requirements

This repository hosts a book translation and does not provide executable code or a software project to install or run. The content discusses various AI frameworks and technologies.

Highlighted Details

  • The book comprises 424 pages, with 21 main chapters and 7 appendices covering a broad spectrum of agentic AI topics.
  • It delves into practical patterns such as prompt chaining, routing, parallelization, reflection, tool usage, planning, and multi-agent collaboration.
  • Advanced sections cover memory management, learning, RAG, MCP, exception handling, human-in-the-loop interaction, and security patterns.
  • All author royalties from the book's sales are donated to the Save the Children foundation.

Maintenance & Community

The Russian translation is maintained by pridees, with community engagement encouraged via a Telegram channel for discussions, feedback, and sharing insights on AI advancements. Issues can also be raised directly in the repository. The last update was noted as September 2025, suggesting recent activity.

Licensing & Compatibility

The translation is distributed strictly for educational purposes. All rights to the original work are reserved by the author, Antonio Gulli. This licensing may impose restrictions on commercial use or integration into closed-source projects.

Limitations & Caveats

This repository is a translated text resource, not a runnable software project. The stated "Last update: September 2025" appears to be a typographical error. The educational-use-only license may limit broader adoption or commercial application.

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