Agentic AI Orchestration: Building Multi-Agent Systems from Scratch

Most books on agentic AI stop at the API call. This one builds the whole stackfrom first principles.Across fifteen hands-on chapters you implement OrchestraKit — a from-scratchmulti-agent orchestration framework — and a complete, governed Research-to-Reportapplication that plans research, dispatches specialist agents in parallel, andproduces a cited report with a live dashboard. You advance from a single reasoningagent to coordinated teams and swarms, then re-express the same system on the realframeworks practitioners use today: LangGraph, CrewAI, and AutoGen/AG2.You will:- Formalize the perceive–reason–act agent loop and the LLM as a policy.- Engineer structured, typed, idempotent tools and the ReAct and Reflection patterns.- Build subagents with context isolation, multi-agent teams, and decentralized swarms.- Wire interoperability with the Model Context Protocol (MCP) and Agent-to-Agent (A2A).- Ground answers with retrieval-augmented generation (RAG) and memory engineering.- Measure quality with a real, offline evaluation harness.- Finish with production foundations — resilience, tracing, job queues — and adefault-deny governance control plane (policy, approval, tamper-evident audit,kill switch).Every chapter pairs rigorous theory and peer-reviewed references with runnable,tested code. Everything runs offline and deterministically by default — no API keys,no network — and the free, open-weight Gemma 4 model (via Ollama) drops in when youwant a real model at zero cost. The complete companion code, the per-chapterstarter/solution files, and a Selected Solutions booklet are published on GitHub.Who it's for: AI engineers, software engineers, and technical leaders who want tobuild agentic systems they can read, run, and trust — not just call an API. Thedual-track design serves beginners (runnable code, exercises, plain-Englishcheckpoints) and experienced engineers (formalism, limitations, citations, andproduction caveats) alike.Companion code: https://github.com/zahurul-islam/Agentic-AI-Orchestration Read more