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Agentic mesh : the GenAI-powered autonomous agent ecosystem / Eric Broda and Davis Broda ; foreword by Sean Falconer
Mitwirkende(r): Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Verlag: Santa Rosa : O'Reilly, February 2026Beschreibung: 1 Online-Ressource (416 p.)ISBN:- 9798341621619
- 006.3 23/eng/20260209
- QA76.76.I58
Inhalte:
Zusammenfassung: With the rise of autonomous agents, the question is no longer ""How do we build agents?"" but rather, ""How do we manage an entire ecosystem of them?"" This book explores the next frontier of this technology, where interconnected agents collaborate, transact, and fulfill tasks autonomouslyPPN: PPN: 1969502568Package identifier: Produktsigel: ZDB-4-NLEBK
Intro -- Copyright -- Table of Contents -- Foreword -- Preface -- What This Book Isn't -- What This Book Is About -- Who Should Read This Book -- Prerequisites -- What You Will Learn -- Navigating This Book -- Part I: Defining the Essentials -- Part II: Defining the Agent Ecosystem: Agentic Mesh -- Part III: Building Your Agentic Mesh -- Conventions Used in This Book -- O'Reilly Online Learning -- How to Contact Us -- Acknowledgments -- Part I. Defining the Essentials -- Chapter 1. Understanding Agentic Mesh: The Essentials -- The Introduction of LLMs -- The Agent Era -- Defining Agents
Agents Today -- Enterprise-Grade Agents -- Agentic Mesh: The Agent Ecosystem -- The Agent Challenge -- The Agent Opportunity -- Summary -- Chapter 2. Agentic Past, Present, and Future -- The Agent Past -- The Origins of Artificial Intelligence -- The Era of Machine Learning -- The Deep Learning Revolution -- The Agent Present -- The Transformer Architecture -- The Age of LLMs -- The Agentic Future -- Short Term: Laying the Foundation for Enterprise-Grade Agents -- Medium Term: The Rise of Agentic Mesh-the Agent Ecosystem -- Long Term: The Creation of the Agent Businesses -- Summary
Chapter 3. Agents Versus AI Workflow -- Defining AI Workflows -- Common Types of AI Workflows -- Prompt Chaining -- Routing -- Parallelization -- Orchestration -- Reflection -- Challenges with AI Workflows -- The "Black Box" Issue -- Scaling Challenges -- Handling Edge Cases -- Comparing AI Workflows and Agents -- Agents Extend AI Workflows -- Summary -- Chapter 4. Agent Basics -- Agent Analogy: Agents as People -- From Person to Agent -- From Teams to Agent Fleets -- From Organizations to Agent Ecosystems -- Architecture of an Agent -- Task Planning -- Task Execution -- Problem-Solving
Tool Use -- Memory and Context -- Learning -- Collaboration and Communications -- Summary -- Part II. Defining the Agent Ecosystem: Agentic Mesh -- Chapter 5. Agent Architecture -- Agent Principles -- Trustworthy and Accountable -- Reliable and Durable -- Explainable and Traceable -- Collaborative and Intelligent -- Agent Components -- Agent "Brain" -- Agent Memory -- Agent Context Engineering -- Agent Tools -- Agent Task Management -- Creating the Task Plan -- Identifying Collaborators and Tools -- Parameters Substitution -- Executing the Task Plan -- Agent Interactions and Conversations
Agent Messaging Model -- Agent Conversation Management -- Agent State Management -- Agent Workspaces -- Agent Identities and Roles -- Agent Types -- Task-Oriented Agents -- Goal-Oriented Agents -- Simulation Agents -- Observer Agents -- Agent Patterns -- Agent Communication Patterns -- Agent Role Patterns -- Agent Organizational Patterns -- Agent Configuration -- Identity, Description, and Purpose -- Task Execution Strategy -- Security Configuration -- Policy and Certification -- Agent and Tool Visibility -- Summary -- Chapter 6. Enterprise-Grade Agents -- Microagents (Microservice Agents)
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