ИИ-агенты
superpowers
An agentic skills framework & software development methodology that works.
★ 294,9 тыс. звёздMIT
Смотреть руководство →agent-rules-books — проект с открытым исходным кодом из категории «ИИ-агенты» от ciembor (ciembor/agent-rules-books на GitHub). У него 2 902 звезды на GitHub и 510 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 10 сентября 2026.
Battle-tested coding rules for AI agents, distilled from classic programming books.
Choose the book-inspired rule sets you want.
Drop the AGENTS.md files into your project.
Your coding agent reads the rules automatically.
Tweak conventions to match your team.
Wisdom from five classic programming texts.
Codex, Cursor, Claude Code, and more.
The standard agents already understand.
Reusable skills alongside the rules.
Copy files, no installation needed.
Version conventions in git.
Download the source and move into the project folder.
git clone https://github.com/ciembor/agent-rules-books.git
cd agent-rules-booksEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project’s launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source collection at ciembor/agent-rules-books with 510 forks.
Yes. MIT licensed.
Documentation: rule files and skills your agents read.
Codex, Cursor, Claude Code, and most modern coding agents.
Yes. They are plain text files meant to be adapted.
An agentic skills framework & software development methodology that works.
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Mobile app automation and verification built for AI coding agents — CLI, MCP server, and Node API
Write coding-agent rules once, then apply them to every AI coding tool you use.
Sync your AI coding setup: skills, agents, rules, MCP, hooks, everywhere.
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если agent-rules-books вам не подходит.
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Соседние проекты из категории «ИИ-агенты» в каталоге, ближайшие по числу звёзд к agent-rules-books — продолжайте изучать полку по обе стороны от него.
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Living architecture documentation that both your team and AI agents can read.
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Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.