JevHarness
LLM-authored task-specific Jev harnesses with optional full-trajectory reward reflection and GEPA evolution.
554 ★ on GitHub
What it is
Let an LLM write a task-specific harness for Jev. Run it, inspect its decisions, and optionally improve it using rewards and complete execution traces.
The homepage listed on the repository, jev-harness.tianyuchen99.chatgpt.site, puts it like this: Watch an LLM-authored Jev harness evolve through battle trajectories and rewards. Explore recorded decisions, exact Jev arguments, the evolution tree, and latency.
Getting started
From the README:
/plugin marketplace add https://github.com/TianyuCodings/JevHarness.git
/plugin install jev-harness@jevharness
/reload-pluginsWhere the decision sits
JevHarness 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 2026-09-21, last pushed 2026-10-16, 554 stars and 26 forks when we read it on 2026-11-02. 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.
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.