AI Agents
context-engineering-kit
Run context-engineering-kit locally: hand-crafted claude code skills focused on improvi...
★ 1.7k starsGPL-3.0
View guide →Cut AI context cost with reversible, byte-exact compression.
entroly is an open-source local llm project by juyterman1000 (juyterman1000/entroly on GitHub). It has 472 GitHub stars and 71 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 4 October 2026.
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.
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