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Achievement: Pull Sharkx4Achievement: Pair Extraordinairex3Achievement: Starstruckx4Achievement: QuickdrawAchievement: YOLOAchievement: Arctic Code Vault Contributor

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rohitg00/README.md

Hi, I'm Rohit

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📍 London, UK
🌐 CNCF Ambassador · Platform Engineering Ambassador · Docker Captain · Google Developer Expert (Cloud & GenAI)

🚀 About Me

I build AI agent infrastructure and developer tools.

  • ⭐ 50K+ GitHub stars
  • 👥 300K+ community

🛠️ Tech Stack

Python TypeScript Rust Kubernetes MCP

✍️ Currently Writing

❤️ Support

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  1. agentmemory agentmemory Public

    #1 Persistent memory for AI coding agents based on real-world benchmarks

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  2. ai-engineering-from-scratch ai-engineering-from-scratch Public

    Learn it. Build it. Ship it for others.

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    Claude Code learns from your corrections: self-correcting memory that compounds over 50+ sessions. Context engineering, parallel worktrees, agent teams, and 17 battle-tested skills.

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  4. kubectl-mcp-server kubectl-mcp-server Public

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    The most comprehensive toolkit for Claude Code -- 135 agents, 35 curated skills, 42 commands, 176+ plugins, 20 hooks, 15 rules, 7 templates, 14 MCP configs, 26 companion apps, 52 ecosystem entries,…

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  6. LLM Wiki v2 — extending Karpathy's L... LLM Wiki v2 — extending Karpathy's LLM Wiki pattern with lessons from building agentmemory
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    # LLM Wiki v2
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    A pattern for building personal knowledge bases using LLMs. Extended with lessons from building [agentmemory](https://github.com/rohitg00/agentmemory) 20K+ Stars ⭐️, a persistent memory engine for AI coding agents.
    
              
    
              
    
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    This builds on [Andrej Karpathy's original LLM Wiki idea file](https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f). Everything in the original still applies. This document adds what we learned running the pattern in production: what breaks at scale, what's missing, and what separates a wiki that stays useful from one that rots.
    
              
    
          
    
    
    
  
    

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