A self-hosted System One server: one /v1/systemone contract, a Docker image each for Laya and kev, and a playground where snake, dino, and tetris call that endpoint.
Organization repository on GitHub
Self-hosted, Jev-compatible decision-model API — one /v1/systemone endpoint, open weights (Laya, kev), one Docker image per engine.
Repo stats from the GitHub API, cached Sep 2026.
docker compose -f docker-compose.yml up -d --waitWatch out
Apache-2.0. Pre-1.0: the v1 wire contract only adds fields. Needs Docker and a DECIS_API_KEY in .env. Distinct from the hosted Jev games and from the Laya and kev model repos themselves.
Posts, threads, and videos about this entry from around the web.
Hacker News: Show HN: a mouse colony where each next move is Jev or a fixed rule.
1 pointShow HN: Jev-mice – mouse colony simulation using Jev and deterministic engineRead the thread on Hacker NewsHacker News: Show HN: OpenDecision, a local decision model with a Doom demo.
dwa35926 pointsShow HN: OpenDecision – a 400M zero-shot model makes local decisions, plays DoomRead the thread on Hacker NewsX: Jev plus Astra beats the Ender Dragon for under a dollar
Harness: I made Jev control the player, has access to WASD, space, click, and mouse movements. Astra is the planner that sends instructions to Jev async. Learning: Each time the agent would fail, Astra would add skills as mjs files, that it can draw upon in different scenarios, Show more
X: Jev plays Pokémon Showdown
1/8 Saw Jev from @typesafeai on my feed, so I made it play Pokemon Showdown. Codex built the harness. It was damn fast. Its choices were a mixed bag. Full match, video 1/2. This is a saved replay with decision data, latency and added reading pauses.
feder-cr/jevPython
Rizzo-AI-Academy/rizzo-flowPython
deepanwadhwa/OpenDecisionPythonPosts from builders shipping with Jev right now.
A local Telegram analyzer with Jev as the classifier
I vibe-coded this simple, open-source and local Telegram content analyzer using Jev as a classifier. Jev Classifier • jevclassifier.vercel.app Export your channel data as JSON and it will analyze each post's intent, quality, sentiment, and reaction tone and if it's a DM/Group Show more
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x
A Krunker-inspired FPS, decided by Jev
Maybe I’m just washed, but Jev is beating me at my own game. Built a Krunker-inspired FPS where you 1v1 Jev. Try it out yourself: jev-arcade.vercel.app/duel
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x
Pixel art out of 256 multiple-choice questions
I turned @typesafeai Jev model into a pixel art model. 256 multiple choice questions, one per pixel, plus refinement passes. These were the best results out of the bunch I tested. Code: github.com/Wizhill05/type…
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x
An Elixir port of the official SDK
[Announcing] TypeSafe SDK - Jev, the first System One model from TypeSafe forum.elixirforum.com/t/76700 #ElixirLang #MyElixirStatus
jod: Zod validates data, Jev judges it
Zod validates data you already understand. Jev judges data you don't. jod is the seam: your state validates locally and for free, every question goes out in one parallel request, and typed answers come back. github.com/mateonunez/jod
Loki: a self-improving harness with a Jev companion
You can run Jev at home with Loki as well! It’s a full agent harness github.com/wundercorp/loki
