{"product_id":"engineering-with-manus-ai-architecting-autonomous-agents-memory-systems-and-multi-agent-workflows-for-next-gen-llm-applications-9798290460147","title":"Engineering with Manus AI: Architecting Autonomous Agents, Memory Systems, and Multi-Agent Workflows for Next-Gen LLM Applications","description":"\u003cp\u003e • Author(s): Tony Larson\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Artificial Intelligence - Natural Language Processing\u003c\/p\u003e\u003cp\u003eUnlock the full potential of autonomous AI systems with \u003ci\u003e\u003ci\u003eEngineering with Manus AI\u003c\/i\u003e\u003c\/i\u003e-a comprehensive technical guide for developers, architects, and researchers building the next generation of large language model (LLM)-powered applications.\u003cbr\u003eIn 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.\u003cbr\u003eAcross 17 deeply practical chapters, you'll learn how to: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eArchitect autonomous agents with persistent memory, contextual awareness, and tool orchestration\u003c\/li\u003e\n\u003cli\u003eBuild custom tools, task flows, and dynamic agent behaviors using the Manus Kernel and SDK\u003c\/li\u003e\n\u003cli\u003eIntegrate with LangChain, LlamaIndex, vector databases like Pinecone and FAISS, and local or API-based LLMs\u003c\/li\u003e\n\u003cli\u003eManage multi-agent coordination, memory retrieval strategies, and long-term state persistence\u003c\/li\u003e\n\u003cli\u003eSecure your applications with sandboxed execution, moderation layers, and role-based permission models\u003c\/li\u003e\n\u003cli\u003eScale your systems with distributed deployments, caching, performance monitoring, and hybrid operating modes\u003c\/li\u003e\n\u003cli\u003eExplore advanced techniques in model fine-tuning, hallucination prevention, compliance, and real-world agent debugging\u003c\/li\u003e\n\u003c\/ul\u003eWritten 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 \u003ci\u003e\u003ci\u003eAI as software\u003c\/i\u003e\u003c\/i\u003e. 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.\u003cbr\u003eWhether you're automating workflows, building research assistants, or architecting intelligent data pipelines, \u003ci\u003e\u003ci\u003eEngineering with Manus AI\u003c\/i\u003e\u003c\/i\u003e equips you with everything you need to build robust, autonomous LLM systems.","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47779262038167,"sku":"9798290460147","price":1242.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798290460147.webp?v=1778034842","url":"https:\/\/atlanticbooks.com\/products\/engineering-with-manus-ai-architecting-autonomous-agents-memory-systems-and-multi-agent-workflows-for-next-gen-llm-applications-9798290460147","provider":"Atlantic Books","version":"1.0","type":"link"}