ego-decision-layer
Pluggable decision layer for the ego lite browser: one System One (Jev) call per step replaces the per-step LLM turn, and the backend can be swapped for a local OpenAI-compatible model. Fail-closed execution guards. The measured one — raw bench data, 16 suites, changelog with corrections.
30 ★ on GitHub
What it is
给 ego lite 的可插拔决策层：默认 System One（Jev），可换本地 / 其他 OpenAI 兼容后端；执行层带 fail-closed 护栏。
Getting started
From the README:
"$HOME/.agents/skills/ego-decision-layer/scripts/ego-decision-layer" \
--url "https://en.wikipedia.org/wiki/Main_Page" \
--text "Jev" --until "/wiki/Jev" --steps 5 \
"在顶部搜索框输入 Jev 并提交"Where the decision sits
ego-decision-layer 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 2026-09-19, last pushed 2026-10-28, 30 stars and 2 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.