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A website, two games, a benchmark and an agent skill for Laya, the open-source decision model. Runs on your machine.
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- 44
- Last pushed
- Updated Sep 2026
Repo stats from the GitHub API, cached Oct 2026.Homepage
CommunityJev Demos & Experiments
Laya playground
A local site, games, a benchmark, and an agent skill for Laya. The public pages replay recorded runs; the clone runs the model on your machine.
- Stars
- 185
- Language
- JavaScript
- License
- MIT
- Published by
- Community
- Author
- wdobry
- Last verified
- Oct 2026
About this project
A website, three games, a benchmark and an agent skill for Laya, the open-source decision model: typed questions in, real probabilities out, one forward pass, no generated text. It runs on your own machine. The live site is at brainfunctioncollapse.com/laya. It has no model behind it and replays recorded runs. Clone this repository and the same pages run against the real model.
Quoted from the project's README. Read the full README.
Used inJev for Gaming
- Languages
- JavaScript
- Capabilities
- Open sourceRuns locally
Highlights
- MIT. 180 stars on 3 October 2026. Live site is brainfunctioncollapse.com/laya.
- The README says the live site has no model and replays recorded runs.
- Cloning it installs NandhaKishorM's laya package and downloads the open weights.
- Includes games, a benchmark, and an agent skill. It does not contain the model.
Watch out
A front end for someone else's weights. Recorded runs on the public site are not live inference.
Questions about this entry
Short answers drawn from the linked project or page.
Replaying recordings: the public site has no model behind it. Cloning the repo and running server.py against the locally installed package gives you the same pages live, with the three games running about 30 decisions a second. The games label themselves as replays when no model is present.
A different model. Laya is an Apache-2.0 open-weights decision model by Nandakishor M of Convai Innovations, and this repo neither contains it nor belongs to its author; it installs his package and downloads his weights. Jev appears only as the comparison baseline, and the project states it is not affiliated with TypeSafe.
It is 500 labelled examples, the same questions, and no tuning, and the site renders figures from static/data/versus.json instead of typed values. The harness only measures: nothing from Jev is fed into Laya. Two source datasets restrict redistribution, so sampled texts and raw API responses are not in the repo, though eval/provenance.json records every source.
Yes, on first start: about 2.3 GB of open weights plus roughly 90 seconds of loading, on Apple silicon, NVIDIA, or plain CPU. If you only want to see the pages and the preset answers, any static file server shows the recorded version with no download at all.
Three games (Flappy, a lane runner and Tetris), each describing its situation in a sentence and asking one typed question, at about 30 decisions a second.
Clone the repo, create a uv venv and install laya, then run server.py and open 127.0.0.1:8770; the first start downloads 2.3 GB of weights and takes about 90 seconds to load.
Any static file server shows the recorded version exactly as the public site does; the games replay real recorded decisions and say so, and the playground presets answer from recordings.
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