KI-Agenten
context-engineering-kit
Run context-engineering-kit locally: hand-crafted claude code skills focused on improvi...
★ 1,7 Tsd. SterneGPL-3.0
Anleitung ansehen →entroly ist ein Open-Source-Projekt aus der Kategorie Lokale LLMs von juyterman1000 (juyterman1000/entroly auf GitHub). Es hat 472 Sterne auf GitHub und 71 Forks, wird unter der Lizenz Apache-2.0 veröffentlicht und wurde zuletzt am 4. Oktober 2026 auf GitHub aktualisiert.
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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