NirDiamant /agents-towards-production

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

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README

_AI Agents Made Simple_ reached 1 in Software Development, Software Engineering and Software Design Tools on Amazon.com's Kindle Store.
A decision guide to building AI agents that work: 28 chapters, 148 illustrations, no code.
Get the book on Amazon →






 Agents Towards Production

 _The open-source playbook for turning AI agents into real-world products._

Agents Towards Production is your go‑to resource for building production‑ready GenAI agents that scale from prototype to enterprise. Tutorials cover stateful workflows, vector memory, real‑time web search APIs, Docker deployment, FastAPI endpoints, security guardrails, GPU scaling, browser automation, fine‑tuning, multi‑agent coordination, observability, evaluation, and UI development.

 ⭐ If you find value in this project, PLEASE STAR IT to help others discover these tutorials! 









Related repos: RAG Techniques · GenAI Agents · Prompt Engineering · Agent Memory Techniques



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📖 The companion book





AI Agents Made Simple - the decision guide to building agents that work: 28 chapters on what each pattern does, what breaks, what it costs, and when it is overkill. No code.

Get it on Amazon →




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 28 production-grade tutorials covering stateful workflows, vector memory, web search APIs, Docker deployment, security guardrails, GPU scaling, multi-agent coordination, and more.

 💎 Tutorial Sponsors


Companies that have contributed step-by-step tutorials to this repository.
Click a logo to open the tutorial. Use Ctrl‑/⌘‑click to keep this page open.






  
  
    
      
        
        
      
    
    Agent Framework & Workflows
      
        
      
    
  

  
  
    
      
        
        
      
    
    Memory & Vector Database
      
        
      
    
  

  
  
    
      
        
        
      
    
    RAG & Knowledge Management
      
        
      
    
  

  
  
    
      
        
        
      
    
    Web Data Platform
      
        
      
    
  




  
  
    
      
        
        
      
    
    Real‑time Web Search API
      
        
      
    
  

  
  
    
      
        
        
      
    
    Self-Improving AI Memory
      
        
      
    
  

  
  
    
      
        
        
      
    
    GPU Cloud Computing
      
        
      
    
  

  
  
    
      
        
        
      
    
    Durable Execution
      
        
      
    
  




 💎 General Sponsors


Companies that support this project through partnerships and resources.
Click a logo to visit their website.






  
  
    
      
        
        
      
    
    AI Code Review
      
        
      
    
  





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Snapshot: 2026-11-10T09:35:25Z · Data license Apache-2.0 · JSON