Built with Robotics and games

jev-pokemon

Jev, an AI decision model, plays Pokémon Red. It beat the game in 37h 40m.

131 ★ on GitHub

What it is

Jev), TypeSafe AI's decision model, plays Pokémon Red. There are no scripts or cheats: the harness reads the game's memory, lists the legal options with some facts about each, and Jev picks one.

The homepage listed on the repository, jev-pokemon.vercel.app, puts it like this: Jev, an AI decision model, plays Pokémon Red all the way to the Hall of Fame. Watch the highlights.

Getting started

From the README:

git clone https://github.com/christianmat/jev-pokemon && cd jev-pokemon
npm install
npm run setup                 # installs rgbds (via brew), clones + builds pret/pokered, generates symbol data
cp /path/to/your/pokered.gb roms/red.gb   # your own dump of Pokémon Red (US/EU)

Where the decision sits

jev-pokemon 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 2026-09-25, last pushed 2026-09-28, 131 stars and 10 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.