{"slug": "ai-agents-in-action-releases-second-edition-guide", "title": "AI Agents in Action Releases Second Edition Guide", "summary": "Micheal Lanham released the second edition of \"AI Agents in Action,\" a practical guide to building agentic systems covering personas, tools, memory, and multi-agent patterns. The 392-page book, published by Manning in June 2026, is available for pre-order on Amazon at $59.99 with a July 14, 2026 release date.", "body_md": "# AI Agents in Action Releases Second Edition Guide\n\nThe new book **AI Agents in Action, Second Edition** by **Micheal Lanham** is a practical guide to building agentic systems, covering personas, tools, memory, retrieval, reasoning, evaluation, multi-agent patterns, and the Model Context Protocol (MCP). Manning offers a free online extract and lists the edition as published in June 2026, per the publisher preview on Manning.com. Retail listings on **Amazon** show a paperback release date of **July 14, 2026** and a pre-order price of **$59.99**. The edition is listed as **392 pages** with ISBN-13 **978-1633434530** in catalog entries on WOW! eBook and O'Reilly. The Manning preview includes a brief author note describing the book's aim to make agentic development accessible to developers and practitioners.\n\n### What happened\n\n**AI Agents in Action, Second Edition**, authored by **Micheal Lanham**, has been published in a new, substantially updated edition that concentrates on building and deploying intelligent agent systems. Per Manning's online preview, the edition was published in June 2026 and the publisher provides a free extract of early chapters on Manning.com. The book is listed as **392 pages** with ISBN-13 **978-1633434530** on catalog pages including WOW! eBook and O'Reilly. Retail listings on **Amazon** show a paperback release date of **July 14, 2026** and a pre-order price of **$59.99**.\n\n### Technical details\n\nThe second edition documents core agent components and practical workflows. Manning and O'Reilly table-of-contents excerpts list chapter-level material on **LLMs**, agent personas, tools and actions, knowledge and memory, retrieval and augmentation, reasoning and planning, evaluation and feedback, and multi-agent architectures such as hub-and-spoke orchestrations and agent collaboration. The book explicitly introduces the Model Context Protocol (MCP) and discusses agent-to-agent interactions (A2A) and multi-agent coordination patterns, per the publisher preview on Manning.com and the O'Reilly catalog.\n\n### Editorial analysis - technical context\n\nIndustry-pattern observations: developer-focused, example-driven books that combine conceptual layers (persona, tools, memory, planning) with concrete code examples accelerate team adoption of agentic patterns. Readers looking to move from single-turn LLM prompts to longer-lived, stateful workflows often need hands-on recipes for memory management, tool integration, and evaluation; the book's chapter breakdown mirrors those practitioner needs.\n\n### Context and significance\n\nagentic systems remain a key area for applied ML and software engineering because they bridge LLM capabilities with external tools and state. Comprehensive, up-to-date resources that cover MCP, agent orchestration, and evaluation frameworks address recurring gaps in practitioner knowledge: designing typed outputs, tracing tool use, and assembling multi-agent flows. Manning's author note in the preview captures this teaching aim: \"I hope this book inspires you to see intelligent agents as partners in innovation,\" per the Manning online extract.\n\n### What to watch\n\nFor practitioners: watch for sample repositories, code walkthroughs, and any publisher-provided exercises that accompany the book; Manning's live preview notes exercises in agent building and O'Reilly lists chapter exercises and runtime topics. Observers should also track whether the author or publisher publishes companion code, notebooks, or a GitHub repo that implements the MCP examples and multi-agent orchestrations described in the text.\n\n## Scoring Rationale\n\nThis is a useful practitioner resource that consolidates agent design patterns and protocols. It is valuable for engineers adopting agentic workflows but does not introduce a new model or paradigm-shifting technology.\n\nPractice interview problems based on real data\n\n1,500+ SQL & Python problems across 15 industry datasets — the exact type of data you work with.\n\n[Try 250 free problems](/problems)", "url": "https://wpnews.pro/news/ai-agents-in-action-releases-second-edition-guide", "canonical_source": "https://letsdatascience.com/news/ai-agents-in-action-releases-second-edition-guide-c4bf88ec", "published_at": "2026-06-22 08:14:53.383074+00:00", "updated_at": "2026-06-22 08:14:55.581867+00:00", "lang": "en", "topics": ["ai-agents", "large-language-models", "ai-tools", "ai-research", "developer-tools"], "entities": ["Micheal Lanham", "Manning", "Amazon", "O'Reilly", "WOW! eBook", "Model Context Protocol"], "alternates": {"html": "https://wpnews.pro/news/ai-agents-in-action-releases-second-edition-guide", "markdown": "https://wpnews.pro/news/ai-agents-in-action-releases-second-edition-guide.md", "text": "https://wpnews.pro/news/ai-agents-in-action-releases-second-edition-guide.txt", "jsonld": "https://wpnews.pro/news/ai-agents-in-action-releases-second-edition-guide.jsonld"}}