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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 AI Engineering! Learn it. Build it. Ship it for others.

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3. pro-workflow pro-workflow Public

   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

   Published in CNCF Landscape: A MCP server for Kubernetes.

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5. awesome-claude-code-toolkit awesome-claude-code-toolkit Public

   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.