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{ "item_title" : "Clawdbot Local AI Agent Development", "item_author" : [" Yuan Zhu "], "item_description" : "Clawdbot Local AI Agent Development provides a structured guide to building locally operated AI agents designed for secure and controlled environments.This book covers: Foundations of local AI deploymentAgent architecture and orchestration modelsTool integration frameworksMemory systems and contextual state managementOffline-first design strategiesSecure configuration practicesResource optimization techniquesTesting and debugging autonomous agentsThe focus is on responsible system design, privacy awareness, and implementation discipline.Readers will learn how to: Configure local AI environmentsDeploy models without continuous cloud relianceBuild structured agent workflowsConnect tools safely within local systemsManage long-context interactions effectivelyOptimize performance within hardware constraintsThis book is intended for developers, technical builders, and professionals who want greater control over their AI infrastructure and deployment environments.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/824/968/9798249680558_b.jpg", "price_data" : { "retail_price" : "23.50", "online_price" : "23.50", "our_price" : "23.50", "club_price" : "23.50", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Clawdbot Local AI Agent Development|Yuan Zhu

Clawdbot Local AI Agent Development : Building Secure, Offline Capable Autonomous Systems for Controlled Deployment

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Overview

Clawdbot Local AI Agent Development provides a structured guide to building locally operated AI agents designed for secure and controlled environments.
This book covers:

  1. Foundations of local AI deployment
  2. Agent architecture and orchestration models
  3. Tool integration frameworks
  4. Memory systems and contextual state management
  5. Offline-first design strategies
  6. Secure configuration practices
  7. Resource optimization techniques
  8. Testing and debugging autonomous agents
The focus is on responsible system design, privacy awareness, and implementation discipline.
Readers will learn how to:
  1. Configure local AI environments
  2. Deploy models without continuous cloud reliance
  3. Build structured agent workflows
  4. Connect tools safely within local systems
  5. Manage long-context interactions effectively
  6. Optimize performance within hardware constraints
This book is intended for developers, technical builders, and professionals who want greater control over their AI infrastructure and deployment environments.

This item is Non-Returnable

Details

  • ISBN-13: 9798249680558
  • ISBN-10: 9798249680558
  • Publisher: Independently Published
  • Publish Date: February 2026
  • Dimensions: 10 x 7 x 0.77 inches
  • Shipping Weight: 1.41 pounds
  • Page Count: 370

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