{"product_id":"advanced-ai-agent-architectures-building-autonomous-multi-agent-systems-9798276581415","title":"Advanced AI Agent Architectures: Building Autonomous Multi-Agent Systems","description":"\u003cp\u003e • Author(s): António Fontoura\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Artificial Intelligence - Generative AI\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eThe Production Guide to Building AI Agents That Actually Work\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eStop building toy demos. Start shipping production-grade AI agent systems.\u003c\/p\u003e\u003cp\u003eThis comprehensive technical guide bridges the gap between research papers and real-world deployments, teaching you to architect, implement, and scale autonomous multi-agent systems that handle millions of requests in production.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat Makes This Book Different: \u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eWritten by Ant�nio Fontoura-AI engineer with 10 years of production experience, inventor of two patent-pending AI systems, and founder of Arcannia, an AI memory infrastructure platform processing 50,000+ agent executions daily.\u003c\/p\u003e\u003cp\u003eThis isn't another intro to AI. This is the field manual for senior engineers who need to design agent systems that scale, stay within budget, and don't hallucinate into production incidents.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eYou'll Learn: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eHow agents differ from chatbots-and why they cost 13-33x more to run\u003c\/li\u003e\n\u003cli\u003eProduction-tested memory architectures: episodic, semantic, procedural, and symbiotic\u003c\/li\u003e\n\u003cli\u003eReal implementations with complete Python\/TypeScript code-not pseudocode\u003c\/li\u003e\n\u003cli\u003eMulti-agent coordination: hierarchical, collaborative, swarm-based\u003c\/li\u003e\n\u003cli\u003eTool integration and sandboxing that prevents agents from breaking things\u003c\/li\u003e\n\u003cli\u003eAdvanced planning algorithms: ReAct, HTN, GOAP, and neuromorphic reasoning\u003c\/li\u003e\n\u003cli\u003eCost optimization with actual dollar amounts and ROI calculations\u003c\/li\u003e\n\u003cli\u003eMonitoring, evaluation, and safety patterns for production deployments\u003c\/li\u003e\n\u003cli\u003eThree deep case studies including Arcannia's production architecture\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cb\u003eReal Numbers, Real Systems: \u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eEvery chapter includes concrete metrics: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eInfrastructure costs per execution\u003c\/li\u003e\n\u003cli\u003eLatency targets (p50, p95, p99)\u003c\/li\u003e\n\u003cli\u003eMemory retrieval accuracy rates\u003c\/li\u003e\n\u003cli\u003eToken consumption optimization\u003c\/li\u003e\n\u003cli\u003eFailure modes and mitigation patterns\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cb\u003e462 Pages Covering: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e29 chapters across 8 major parts\u003c\/li\u003e\n\u003cli\u003eComplete code examples in Python and TypeScript\u003c\/li\u003e\n\u003cli\u003eArchitectural diagrams for every major pattern\u003c\/li\u003e\n\u003cli\u003eCost-benefit analysis for each approach\u003c\/li\u003e\n\u003cli\u003eCommon mistakes and how to avoid them\u003c\/li\u003e\n\u003cli\u003eComprehensive appendices: framework comparisons, reference implementations, design patterns\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cb\u003eWho This Book Is For: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eSenior AI\/ML engineers moving agents to production\u003c\/li\u003e\n\u003cli\u003eSystem architects designing multi-agent platforms\u003c\/li\u003e\n\u003cli\u003eTechnical leads evaluating agent frameworks\u003c\/li\u003e\n\u003cli\u003eCTOs planning AI infrastructure investments\u003c\/li\u003e\n\u003cli\u003eResearchers transitioning from papers to deployments\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003ePrerequisites: Strong programming background, APIs and distributed systems knowledge, LLM familiarity.\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePatent-Pending Innovations: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eSymbiotic Multimodal Memory System (BR 10 2025 021087 8): How humans and agents share memory universes\u003c\/li\u003e\n\u003cli\u003eSymbolic Neuromorphic System (BR 10 2025 021346 0): Combining symbolic reasoning with neural networks\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003ePlus deployment patterns from Arcannia: 200,000+ memory retrievals daily, 85% relevance, sub-200ms latency.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Author: \u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\"I wrote this book as my own technical reference. When you hyperfocus on a problem, go deep, then step away for months, you need documentation you can trust. Every pattern, cost calculation, and failure mode comes from real production systems.\"\u003c\/p\u003e\u003cp\u003e\u003cb\u003eThe Bottom Line: \u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eIf you're building AI agents for production-systems that need to scale, stay reliable, and justify their cost-this book will save you months of trial and error.\u003c\/p\u003e\u003cp\u003eStop guessing. Start building agents that work.\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47779277504663,"sku":"9798276581415","price":6028.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798276581415.webp?v=1778034991","url":"https:\/\/atlanticbooks.com\/products\/advanced-ai-agent-architectures-building-autonomous-multi-agent-systems-9798276581415","provider":"Atlantic Books","version":"1.0","type":"link"}