Topics / #system-one

System-one projects on GitHub

As of , the most-starred System-one projects on GitHub are laya-mlx (7K stars), skills (2.7K stars) and AnyJev (1.4K stars). GitHub.Locker tracks 12 System-one repositories with 16.4K stars combined. The fastest-growing on October 17 was AnyJev, with +43 stars in a day.

12Projects
16.4KStars in total
+88Stars in a day
Browse in the catalog →github.com/topics/system-one ↗

Hot right now

Most stars gained in a day · Oct 17

+43

AnyJev

nokia-applied-research/AnyJev · ★ 1.4K

A Python library that turns any open LLM into a Jev-style decision model: ask a typed question, get back a choice with a probability you can threshold — no generation, no parsing, no fine-tuning.

+17

Valen

Liuziyu77/Valen · ★ 861

Valen (万澜) is a multimodal decision model that adds visual perception to System One-style decision-making: it scores candidate actions against text, images and video using a task instruction, instead of generating free-form answers.

+8

skills

typesafe-ai/skills · ★ 2.7K

A set of agent skills for building with TypeSafe: they let your coding agent get typed decisions and probabilities from System One models.

+6

awesome-jev-live

wh000wh000/awesome-jev-live · ★ 345

Awesome Jev Live is an evidence-graded index of projects built around Jev, TypeSafe AI's System One model — 836 entries covering SDKs, MCP tools, agents, apps and open models, published in 20 languages.

The all-time top

12 projects · by stars

  1. #1 · mizorewww/laya-mlx

    laya-mlx

    Laya-MLX is a native MLX runtime that runs the open-weight Laya typed decision models locally on Apple Silicon, returning structured answers like a choice, a rubric score, or a probability in milliseconds instead of generating text.

    7K
  2. #2 · typesafe-ai/skills

    skills

    A set of agent skills for building with TypeSafe: they let your coding agent get typed decisions and probabilities from System One models.

    2.7K
  3. #3 · nokia-applied-research/AnyJev

    AnyJev

    A Python library that turns any open LLM into a Jev-style decision model: ask a typed question, get back a choice with a probability you can threshold — no generation, no parsing, no fine-tuning.

    1.4K
  1. 4

    von

    917wfzyx/von · Python

    Von is an open-source, non-autoregressive decision model (395M parameters, 1.5 GB) that makes calibrated discrete, probabilistic, and ordinal decisions in a single forward pass in under 25 ms — a local, free alternative to the proprietary TypeSafe Jev.

  2. 5

    Valen

    861Liuziyu77/Valen · Jupyter Notebook

    Valen (万澜) is a multimodal decision model that adds visual perception to System One-style decision-making: it scores candidate actions against text, images and video using a task instruction, instead of generating free-form answers.

  3. 6

    Intent-Router

    763angel291592/Intent-Router · Python

    Intent-Router is an 'intent compiler' skill for AI coding agents: it turns a vague request into a typed IntentSpec contract by looking up what it can, asking only what a human must decide, or halting when the request is contradictory, ambiguous, or underspecified.

  4. 7

    awesome-jev-projects

    685logicrw/awesome-jev-projects · JavaScript

    Awesome Jev is a curated radar of open-source projects in the Jev ecosystem — project discovery through short, plain-language write-ups, so you can size a project up before spending time on it.

  5. 8

    strands-decider

    664strands-labs/strands-decider · Python

    Strands Decider is a small, fast 'system one' decision model built for agentic workflows. Instead of generating free text like an LLM, it picks between a set of options or rates something on a scale, and returns a calibrated confidence score for every decision.

  6. 9

    awesome-jev

    602kydlikebtc/awesome-jev · Python

    A curated index of 1207 public resources for Jev, TypeSafe AI's System One decision model, organised by the decision each resource illustrates. It's an independent catalog, not the product or an SDK.

  7. 10

    agent-jev

    389malevrigns/agent-jev · Python

    AgentJev-0.6B is a tiny 'System One' decision model for AI agent loops: you feed it unstructured state (diffs, traces, logs) plus structured boolean, choice, or score questions, and it returns calibrated probability distributions in one ~50ms forward pass without decoding any text.

  8. 11

    awesome-jev-live

    345wh000wh000/awesome-jev-live · Python

    Awesome Jev Live is an evidence-graded index of projects built around Jev, TypeSafe AI's System One model — 836 entries covering SDKs, MCP tools, agents, apps and open models, published in 20 languages.

  9. 12

    Bud-Decision-Studio

    110BudEcosystem/Bud-Decision-Studio · HTML

    Bud Decision Studio is a cross-platform desktop app and local serving system for 'decision models' (Jev-like 'System One' models): you give it a situation and typed questions, and it returns a calibrated probability for every allowed answer instead of generated text.

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