save-token-jev-clean
Instead of asking another LLM to rewrite old context into a lossy summary, save-token-jev asks Jev which tool calls and results still matter. User and assistant text is kept verbat
58 ★ on GitHub
What it is
Instead of asking another LLM to rewrite old context into a lossy summary, save-token-jev asks Jev which tool calls and results still matter. User and assistant text is kept verbatim. A tool call can be kept with its full result, kept with a bounded result, or removed together with its result.
Where the decision sits
save-token-jev-clean calls the hosted decision API rather than running its own weights. That keeps the project small and means its behaviour moves whenever the vendor ships a new model version. It also means an API key and a network round trip sit in the path of every decision.
Models it references: Jev.
How active it is
Created 2026-09-18, last pushed 2026-09-18, 58 stars and 10 forks when we read it on 2026-09-20. Everything in this category is weeks old at most, so a stale push date means something different here than it would on a mature project. Check the repository before you depend on it.
What we have not checked
Whether it works. We have not run this project, measured the model behind it, or verified any performance claim in its README. This page records what the repository says about itself, read on 2026-09-20. The one model we have measured end to end is Jev.
Find out what your data actually supports
We turn your historical decisions into a frozen test set, then tell you which model, which threshold, and how much of it you can safely automate.