An arena survival game where Jev or Laya controls every enemy
Sree's game describes each moment in one sentence and asks one typed question; the enemies act on the returned probabilities, with either model plugged in.
BUILDS
113 builds made with System One models.
Agents, routers, scorers and games — built on models that decide. Every entry links to the models it uses, so you can pull the same one and start from there.
35 builds · page 1 of 2
A three-model local image pipeline with a Laya style router
spoof.sh's ComfyUI workflow chains a Qwen prompt enhancer, a Laya router that picks the style and Qwen-Image on one NVIDIA card — about 37 seconds per image.
Laya plays Breakout at ~70 decisions a second on an RTX 5080
Ahmed had the 322M multilingual checkpoint control every paddle move, running locally on Windows.
A morning of real work on Laya-MLX
FrontierMind used the offline model on a MacBook Air for inbox triage, tagging 100 SAP decks and sorting blog posts, at zero cost per call.
Laya on an AMD Radeon 6900 XT
VeidtKV ported Laya to gfx1030 hardware, with a Hermes agent doing much of the porting.
Sorting 1,000 emails into six folders with Laya on a MacBook Air
Dima Nurm ran the 322M Laya model locally on an M3 Air and filed 1,000 synthetic emails into six folders in 28.6 seconds, at no cost.
Laya vs Jev on 40 English and Thai support tickets
A local MLX run of Laya against Jev on real support tickets in two languages. Laya answered faster; Jev was far more accurate, 90–100% against 30–80% zero-shot.
Three decision models on ~1,000 Berkeley probability exam questions
Abhijay stress-tested Jev, SemIf and Laya on adapted exam questions: Jev scored 83.7%, SemIf 61.6% and Laya 31.2%.
One Google ADK triage agent, two engines: Jev vs Laya
Madhav Sharma kept the agent and 30 labeled tickets fixed and swapped only the model: Jev reached 53% at 422 ms, Laya 10% at 152 ms.
Laya on Core ML with 99.5% of operations on the Neural Engine
FluidInference's port, benchmarked at 3.7 ms per decision on an M5 Pro.
laya-drift: how far has an OpenCode session wandered from its plan?
pythongiant's OpenCode plugin scores agent drift continuously with Laya and Jensen–Shannon divergence and charts it across the session.
Laya inference in Clojure on Chez Scheme
Anton Lobach ported the decision engine to Jolt, a Clojure implementation running on Chez Scheme.
Maze demo: 19 ms locally vs ~300 ms over the API
Dev Ed measured local Laya on a base M5 against Jev's hosted API on the same maze.
laya-needle: local semantic search in Chrome
Leonardo Stenico moved the Needle extension from hosted Jev to local Laya, so finding passages by meaning needs no API key.
A Snake game steered by local Laya
AmirTaha feeds the fruit, head and wall positions to the model and moves in the direction it returns.
Tic-tac-toe against Laya in Unity
mgear runs the ONNX weights in Unity through onnxruntime-unity and plays full games against the model.
Jev and Laya race the Chrome dinosaur
Viraj Bhartiya ran Laya locally on MLX and Jev over its API on the same T-Rex track and physics.
Laya vs Jev in a Doom deathmatch
Hope set up a first-to-five 1v1: Jev's calls were sharper, while Laya decided about twice as often.
Offline Snake: Laya 43, Jev 1
With the network off, local Laya made 86.4 decisions a second from a 1 GB footprint while the API-bound Jev managed 3.2.
Local Laya vs cloud Jev at Tetris
atomic.chat pitted Laya on a 16 GB MacBook Air against Jev's API; the local model decided about 11× faster.
Lunar lander: Laya plus an MPC veto lands every time
Mansour Raad's experiment: Laya alone landed 0 of 90 attempts; with model-predictive control overruling a small share of moves, 90 of 90.
OpenClaw benchmark: Laya 85% at 28 ms, Jev 90% at 1.2 s
Aaron Edell compared laya-mlx with a hosted Jev tier and made the case for a Laya-first cascade.
Pac-Man on Laya-MLX
soybelli connected Pac-Man to the model on Apple Silicon, with a live view of action probabilities, latency and tactical planning.
pg-laya: Laya decisions inside PostgreSQL
Astrid's Postgres extension, written in Rust on Candle, runs the model in the database so a typed decision is a SQL call.
Many of the first builds here were collected by madewithlaya.com. Every entry links to its creator’s own post, repository or site.