A native macOS automation loop using local OCR and accessibility information with Jev action selection.
Real data. Real impact.
Emerging
Developers
git clone https://github.com/jcpsimmons/jev-macos-loop.gitPer week
Excellent
One command unlocks capabilities that would take hours to build.
A native macOS automation loop using local OCR and accessibility information with Jev action selection.
Jev selects controls or groups from locally observed candidates; coordinates and input execution stay on the Mac.
Makes candidate controls and execution checks inspectable, including Finder workflows.
The author provides small Finder and settings demos, not broad reliability evidence for arbitrary desktop tasks; not retested here.
Jev is TypeSafe AI's System One decision model: it returns typed scores and choices (not free text), so agents can route, filter and gate at low latency and cost.
Source: jcpsimmons/jev-macos-loop — 20 stars, AGPL-3.0. Listed by Awesome Jev.
AGPL-3.0
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