Multi-Agent Engineering Playbook

Design Patterns, Architecture, and Deployment for Production AI Agent Systems By the engineers who build production multi-agent infrastructure — the Hermes Agent team at Nous Research. 150,000+ developers use the patterns in this book. What's Inside (43,000 words) The Five Production Patterns: Orchestrator-Worker, Hierarchical Supervisor, Sequential Pipeline, Dynamic Router, Collaborative Swarm — when to use each, real code, failure modes. Five-Layer Architecture: Transport → Tooling → Memory → Orchestration → Evaluation. Complete reference implementation. Production Deployment: Docker, Kubernetes, serverless — cost models, scaling curves, cold start handling. Quality & Evaluation: Agent eval frameworks, regression testing, human-in-the-loop patterns. Templates Included: Agent persona YAML, task decomposition JSON, deployment manifests, monitoring dashboards. Who This Is For Engineers shipping AI agent systems to production Teams moving from single-agent prototypes to multi-agent architectures Anyone who's hit the limits of "just chain a few prompts together" Not a tutorial. A production manual from people who run multi-agent systems 24/7.

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