What it is
An open-source 3D embodied driving simulator for autonomous driving researchers and developers, featuring a Tesla Model Y, Ackermann steering, procedural city streets, and a highway environment.
How it uses Jev
Jev acts as the System 1 local reflex cerebellum: it takes structured telemetry state and returns typed reflex decisions (e.g., ADAPTIVE_CRUISE, EMERGENCY_BRAKE, SWERVE_EVADE) with confidence, latency, throttle, brake, and target lane, used to control the vehicle in the 60 FPS loop.
Technique worth stealing
Dual-brain decoupling: fast local reflex (System 1) with an asynchronous slow strategy brain (System 2) that never blocks the main loop.
Try it
git clone, npm install, npm run dev, open http://localhost:5173
Evidence
Each line is one question put to Jev about the README. ≥ 0.60 reads as yes, ≤ 0.40 as no; in between Jev is not making a call.
- Jev-centricyes0.76
- Shows a System One patternyes0.72
- Handles uncertaintyno0.08
- Measuredno0.12
- Runnableunclear0.43
- Worth recommendingno0.32
- Model replicano0.38
- Problem scopescore on a 0–2 scale1.08
- About Jevyes0.96
Signals by Jev jev-1.13.0, card written by DeepSeek V4.1 Flash from the README on 23 Sept 2026.