ИИ-агенты
context-engineering-kit
Run context-engineering-kit locally: hand-crafted claude code skills focused on improvi...
★ 1,7 тыс. звёздGPL-3.0
Смотреть руководство →entroly — проект с открытым исходным кодом из категории «Локальные LLM» от juyterman1000 (juyterman1000/entroly на GitHub). У него 472 звезды на GitHub и 71 форк, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 4 октября 2026.
Cut AI context cost with reversible, byte-exact compression.
Understand the compression guarantees.
Add it to your agent workflow.
Shrink prompts before sending.
Restore the exact original.
Every reduction can be undone.
Originals restore perfectly.
Send less, pay less.
Built for Claude Code, Codex flows.
Verifiable, not lossy magic.
Free for commercial use.
Download the source and enter the folder.
git clone https://github.com/juyterman1000/entroly.git
cd entrolySet up the Python package.
pip install -e .Import it and check the quickstart.
python -c "import entroly; help(entroly)"A context-compression tool with reversible, byte-exact recovery, at juyterman1000/entroly.
Compression here is reversible; nothing is lost.
It targets Claude Code, Codex-style agent workflows.
Yes. Apache-2.0 licensed.
On the GitHub Pages docs site.
Run context-engineering-kit locally: hand-crafted claude code skills focused on improvi...
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Другие проекты из категории «Локальные LLM» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если entroly вам не подходит.
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Соседние проекты из категории «Локальные LLM» в каталоге, ближайшие по числу звёзд к entroly — продолжайте изучать полку по обе стороны от него.
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Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.