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by NandhaKishorM · AI Tool · ★ 30.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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Multilingual, non-autoregressive System 1 decision engine. Typed decisions over 100+ languages in a single forward pass — 33 ms — trained with reinforcement learning against strictly proper scoring rules (RLCD), with a router that picks the right checkpoint per request. [](https://dev.to/nandakishorm6cc0adfde9f/i-built-non-autoregres
| Stars | 30,344 |
| Forks | 2,644 |
| Language | Python |
| Category | AI Tool |
| License | Apache-2.0 |
| Quality Score | 63.1999483515357/100 |
| Open Issues | 89 |
| Last Updated | 2026-10-02 |
| Created | 2026-09-18 |
| Platforms | python |
| Est. Tokens | ~25k |
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laya is Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per reque. It is categorized as a AI Tool with 30.3k GitHub stars.
laya is primarily written in Python. It covers topics such as calibration, classification, decision-model.
You can find installation instructions and usage details in the laya GitHub repository at github.com/NandhaKishorM/laya. The project has 30.3k stars and 2644 forks, indicating an active community.
laya is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to laya on Agent Skills Hub include QuantDinger, kev, yao. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: