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{ "item_title" : "Engineering with Manus AI", "item_author" : [" Tony Larson "], "item_description" : "Unlock the full potential of autonomous AI systems with Engineering with Manus AI-a comprehensive technical guide for developers, architects, and researchers building the next generation of large language model (LLM)-powered applications.In a world rapidly evolving toward intelligent automation, Manus AI stands out as a cutting-edge framework that transforms LLMs into context-aware, memory-driven agents capable of sophisticated decision-making, task decomposition, and collaborative reasoning. This book provides an in-depth, hands-on roadmap for building secure, scalable, and ethically aligned agent ecosystems using the Manus framework.Across 17 deeply practical chapters, you'll learn how to:Architect autonomous agents with persistent memory, contextual awareness, and tool orchestrationBuild custom tools, task flows, and dynamic agent behaviors using the Manus Kernel and SDKIntegrate with LangChain, LlamaIndex, vector databases like Pinecone and FAISS, and local or API-based LLMsManage multi-agent coordination, memory retrieval strategies, and long-term state persistenceSecure your applications with sandboxed execution, moderation layers, and role-based permission modelsScale your systems with distributed deployments, caching, performance monitoring, and hybrid operating modesExplore advanced techniques in model fine-tuning, hallucination prevention, compliance, and real-world agent debuggingWritten in a clear, conversational tone, this book is designed for software engineers, AI researchers, and system designers who are ready to go beyond prompt engineering and embrace the future of AI as software. Real-world code examples, actionable insights, and forward-looking commentary make this your essential companion for building intelligent agents that don't just respond-but reason, remember, and act.Whether you're automating workflows, building research assistants, or architecting intelligent data pipelines, Engineering with Manus AI equips you with everything you need to build robust, autonomous LLM systems.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/829/046/9798290460147_b.jpg", "price_data" : { "retail_price" : "15.00", "online_price" : "15.00", "our_price" : "15.00", "club_price" : "15.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Engineering with Manus AI|Tony Larson

Engineering with Manus AI : Architecting Autonomous Agents, Memory Systems, and Multi-Agent Workflows for Next-Gen LLM Applications

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Overview

Unlock the full potential of autonomous AI systems with Engineering with Manus AI-a comprehensive technical guide for developers, architects, and researchers building the next generation of large language model (LLM)-powered applications.
In a world rapidly evolving toward intelligent automation, Manus AI stands out as a cutting-edge framework that transforms LLMs into context-aware, memory-driven agents capable of sophisticated decision-making, task decomposition, and collaborative reasoning. This book provides an in-depth, hands-on roadmap for building secure, scalable, and ethically aligned agent ecosystems using the Manus framework.
Across 17 deeply practical chapters, you'll learn how to:

  • Architect autonomous agents with persistent memory, contextual awareness, and tool orchestration
  • Build custom tools, task flows, and dynamic agent behaviors using the Manus Kernel and SDK
  • Integrate with LangChain, LlamaIndex, vector databases like Pinecone and FAISS, and local or API-based LLMs
  • Manage multi-agent coordination, memory retrieval strategies, and long-term state persistence
  • Secure your applications with sandboxed execution, moderation layers, and role-based permission models
  • Scale your systems with distributed deployments, caching, performance monitoring, and hybrid operating modes
  • Explore advanced techniques in model fine-tuning, hallucination prevention, compliance, and real-world agent debugging
Written in a clear, conversational tone, this book is designed for software engineers, AI researchers, and system designers who are ready to go beyond prompt engineering and embrace the future of AI as software. Real-world code examples, actionable insights, and forward-looking commentary make this your essential companion for building intelligent agents that don't just respond-but reason, remember, and act.
Whether you're automating workflows, building research assistants, or architecting intelligent data pipelines, Engineering with Manus AI equips you with everything you need to build robust, autonomous LLM systems.

This item is Non-Returnable

Details

  • ISBN-13: 9798290460147
  • ISBN-10: 9798290460147
  • Publisher: Independently Published
  • Publish Date: July 2025
  • Dimensions: 10 x 7 x 0.28 inches
  • Shipping Weight: 0.53 pounds
  • Page Count: 130

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