Topics / #decision-model

Decision-model projects on GitHub

As of , the most-starred Decision-model projects on GitHub are laya (33.4K stars), kev (9.3K stars) and laya-mlx (7K stars). GitHub.Locker tracks 26 Decision-model repositories with 75.4K stars combined. The fastest-growing on October 17 was laya, with +100 stars in a day.

26Projects
75.4KStars in total
+351Stars in a day
Browse in the catalog →github.com/topics/decision-model ↗

Hot right now

Most stars gained in a day · Oct 17

+100

laya

NandhaKishorM/laya · ★ 33.4K

Laya is a non-autoregressive decision engine: instead of generating text, it answers typed questions — multiple choice, a numeric score, or yes/no — about any text in a single forward pass, across 100+ languages. A built-in router detects the language and picks the right checkpoint per request.

+86

StartLux-Decision

StartLuxLabs/StartLux-Decision · ★ 648

StartLux-Decision is a family of typed decision models (five dense sizes from 0.8B to 27B plus a 35B-A3B mixture-of-experts) that answer a question with a probability for each option instead of generating text.

+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.

+26

kev

jaredpalmer/kev · ★ 9.3K

Kev is an open family of small decision models (0.8B to 27B parameters) built on Qwen3.5/3.8 that answer yes/no, multiple-choice and rating questions about text with calibrated probabilities, acting as a self-hosted drop-in replacement for TypeSafe's hosted Jev model.

The all-time top

26 projects · by stars

  1. #1 · NandhaKishorM/laya

    laya

    Laya is a non-autoregressive decision engine: instead of generating text, it answers typed questions — multiple choice, a numeric score, or yes/no — about any text in a single forward pass, across 100+ languages. A built-in router detects the language and picks the right checkpoint per request.

    33.4K
  2. #2 · jaredpalmer/kev

    kev

    Kev is an open family of small decision models (0.8B to 27B parameters) built on Qwen3.5/3.8 that answer yes/no, multiple-choice and rating questions about text with calibrated probabilities, acting as a self-hosted drop-in replacement for TypeSafe's hosted Jev model.

    9.3K
  3. #3 · 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
  1. 4

    council-of-high-intelligence

    4.7K0xNyk/council-of-high-intelligence · Shell

    Council of High Intelligence runs structured multi-perspective deliberation on hard decisions by assigning a question to 18 distinct analytical personas (Aristotle, Socrates, Feynman, Linus Torvalds and others), forcing independent first positions, cross-examination, and a final verdict that preserves unresolved questions, dissent, kill criteria, and a concrete next step.

  2. 5

    NanoJev

    2.6KTianyuCodings/NanoJev · Python

    A nano replica of Jev: a 0.6B-parameter parallel decision model that takes states and questions in and returns complete probability distributions — no output tokens are ever decoded.

  3. 6

    deepopen

    2Kdeepopen-com/deepopen · Python

    DeepOpen is an open-source, non-autoregressive 'System 1' decision engine: instead of generating text token-by-token like an LLM, it makes typed decisions (choice, score, or boolean) over text, email, tickets or JSON in a single forward pass, across 100+ languages, in as little as 33ms.

  4. 7

    laya-coreml

    1.6Kmizorewww/laya-coreml · Python

    It's an open-weight Python port of Laya that answers typed questions — pick an option, an ordinal score, or yes/no — locally on Apple Silicon through Core ML and the Neural Engine, generating zero text tokens.

  5. 8

    hexstellar

    1.4Kbrayonpi/hexstellar · Python

    HexStellar lets an AI agent hand off hard computational problems — optimization, quantum computing, scientific computing, and decision intelligence — to a managed service called Cortex, which executes them and returns structured, verifiable results with certainty labels and receipts.

  6. 9

    AnyJev

    1.4Knokia-applied-research/AnyJev · Python

    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.

  7. 10

    jev

    1.4Kfeder-cr/jev · C++

    jevos-1b is a free, open-source yes/no decision engine that runs locally on your laptop's CPU, returning the probability that the answer is 'yes' for a given text plus question in about 50-220 ms, as a self-hosted alternative to the cloud-based Jev service.

  8. 11

    jevlike

    1.4Kvinnylarouge/jevlike · Python

    A small research model that reads a piece of text plus a list of options and returns a probability for each option in one pass, instead of writing an answer token by token.

  9. 12

    typesafe-computer-use

    1.2Kawlevin/typesafe-computer-use · Python

    A Python agent that drives your Mac toward a goal you type in plain English: it OCRs the screen, a cheap classifier picks each action, and it clicks — about $0.0002 per step.

  10. 13

    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.

  11. 14

    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.

  12. 15

    Intern-Decision

    829InternLM/Intern-Decision · Python

    Intern-Decision turns a state, optional images, and multiple typed questions into decisions with probabilities, by fine-tuning the language backbone of Qwen3.5 while freezing its vision tower and projector.

  13. 16

    foreman

    773thruwire/foreman · Python

    Foreman is a supervisor that watches a coding agent (like Codex or OpenCode) while it works on a ticket or bug report, using a fast decision model called Jev to independently judge whether the implementation is complete, needs verification, or needs a human.

  14. 17

    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.

  15. 18

    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.

  16. 19

    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.

  17. 20

    StartLux-Decision

    648StartLuxLabs/StartLux-Decision · Python

    StartLux-Decision is a family of typed decision models (five dense sizes from 0.8B to 27B plus a 35B-A3B mixture-of-experts) that answer a question with a probability for each option instead of generating text.

  18. 21

    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.

  19. 22

    jeeves

    425PostHog/jeeves · Python

    Jeeves is a reasoning-enhanced 'Jev-like' decision model built on Qwen3.5-9B with LoRA. It thinks through a reasoning chain before giving calibrated yes/no, multiple-choice, or rating answers, and ships with a diffusion drafter for faster inference.

  20. 23

    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.

  21. 24

    beebots

    301imikerussell/beebots · TypeScript

    beebots runs three AI trading bees that race each other on OKX perpetual futures, with every decision made by a decision model called Jev and every order passing through a risk layer written in plain code. It starts in paper-trading mode using real prices but simulated money.

  22. 25

    SystemOneHarness

    197HarnessRouter/SystemOneHarness · Python

    An open-source Python harness that turns a System One decision model into an agent loop: it observes an environment, compiles a finite action space into typed questions, gates each decision by confidence, executes the action and records a complete trace.

  23. 26

    JevAny

    105SimpleJev/JevAny · Python

    🎮 Results & Demos | ⚡ Quickstart | 💻 Run locally | 🤗 Models | 📊 Benchmarks | 📚 Docs

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