Agents IA
context-engineering-kit
Run context-engineering-kit locally: hand-crafted claude code skills focused on improvi...
★ 1,7 k étoilesGPL-3.0
Voir le guide →entroly est un projet de LLM locaux open source, créé par juyterman1000 (juyterman1000/entroly sur GitHub). Il compte 472 étoiles sur GitHub et 71 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 4 octobre 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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