AIエージェント
context-engineering-kit
Run context-engineering-kit locally: hand-crafted claude code skills focused on improvi...
★ 1.7k スターGPL-3.0
ガイドを見る →entrolyは、juyterman1000が公開しているオープンソースのローカルLLMプロジェクトです（GitHub: juyterman1000/entroly）。GitHubスターは472、フォークは71で、Apache-2.0ライセンスの下で公開されています。GitHubでの最終更新は2026年10月4日です。
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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LibreAIカタログに掲載されたローカルLLMプロジェクトの中で最もスターの多いもの — entrolyが合わなかった場合に検討したい、現実的な候補リストです。
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カタログの中でentrolyとスター数が近いローカルLLMプロジェクト — 前後の棚もそのまま見て回れます。
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