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**Language:** English | [Português (Brasil)](docs/pt-BR/README.md) | [简体中文](README.zh-CN.md) | [繁體中文](docs/zh-TW/README.md) | [日本語](docs/ja-JP/README.md) | [한국어](docs/ko-KR/README.md) [Türkçe](docs/tr/README.md)

Everything Claude Code

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**50K+ stars** | **6K+ forks** | **30 contributors** | **7 languages supported** | **Anthropic Hackathon Winner**

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**🌐 Language / 语言 / 語言 / Dil**

[**English**](README.md) | [Português (Brasil)](docs/pt-BR/README.md) | [简体中文](README.zh-CN.md) | [繁體中文](docs/zh-TW/README.md) | [日本語](docs/ja-JP/README.md) | [한국어](docs/ko-KR/README.md) | [Türkçe](docs/tr/README.md)

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**The performance optimization system for AI agent harnesses. From an Anthropic hackathon winner.**

Not just configs. A complete system: skills, instincts, memory optimization, continuous learning, security scanning, and research-first development. Production-ready agents, hooks, commands, rules, and MCP configurations evolved over 10+ months of intensive daily use building real products.

Works across **Claude Code**, **Codex**, **Cowork**, and other AI agent harnesses.

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The Guides

This repo is the raw code only. The guides explain everything.

Shorthand Guide Setup, foundations, philosophy. Read this first. Longform Guide Token optimization, memory persistence, evals, parallelization. Security Guide Attack vectors, sandboxing, sanitization, CVEs, AgentShield.

Topic	What You'll Learn
Token Optimization	Model selection, system prompt slimming, background processes

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