Title: OLLAMA AI AGENT HANDBOOK : The Complete Hands-On Guide to Building Autonomous Local AI Agents Using Ollama, LangChain, LangGraph, and CrewAI
Publisher: Roxanne Hamil Apr 2026
Publication Date: 2026
Language: English
ISBN 13: 9798254711759
Binding: Taschenbuch
Condition: Neu
Dimensions: 229 millimeters width by 152 millimeters height by 14 millimeters depth
Weight: 348 grams

About this title

Synopsis

Master the future of AI by building powerful, private, and fully autonomous agents that run entirely on your own hardware.

The Ollama AI Agent Handbook is the complete hands-on guide for developers, AI engineers, and technical professionals who want to move beyond cloud APIs and create sophisticated local AI agents using Ollama.

In this practical guide, you will learn how to build production-ready autonomous agents from the ground up. Starting with the fundamentals of Ollama and tool calling, you’ll progress through advanced topics including retrieval-augmented generation (RAG), memory systems, planning and reflection, stateful workflows with LangGraph, role-based multi-agent teams with CrewAI, and multimodal agents that can understand images and documents.

What You’ll Learn:

Install and optimize Ollama for maximum performance on consumer hardware
Build reliable ReAct agents and tool-calling systems from scratch
Create intelligent local RAG pipelines using Chroma, FAISS, and LlamaIndex
Design stateful, cyclical agents with LangGraph
Orchestrate collaborative multi-agent teams using CrewAI
Develop multimodal agents capable of vision and document understanding
Implement memory, planning, reflection, and self-critique mechanisms
Apply security, guardrails, and human-in-the-loop safeguards
Optimize agents for speed and efficiency using quantization and model tiering
Deploy agents using Docker, APIs, web UIs, and VS Code integrations

Whether you're a developer looking to build private alternatives to cloud-based AI tools, an engineer seeking full control over your AI systems, or a technical leader exploring sovereign AI solutions, this book provides clear, step-by-step guidance with complete working code examples.

Why Local Agents Matter Discover the compelling advantages of running agents locally: complete data privacy, zero recurring API costs, offline capability, full customization, and freedom from vendor lock-in.

All examples in this book are designed to run on modest hardware, making advanced agent development accessible to anyone with a standard laptop or desktop.

Take control of your AI future. Build autonomous, trustworthy, and private AI agents that work for you — not the other way around.

"About this title" may belong to another edition of this title.

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