1. 1

    Android 助手通过无障碍服务与本地 OCR 读取可见对话,在悬浮窗显示分析及回复建议。 Jev 判断意图与回复选项,生成模型起草三条候选,再由 Jev 排序。

    6950
  2. 2

    AnyJev 从开放模型读取概率,回答选择、是非和评分问题,无需生成文章。 这是独立的 Jev 风格方案;L2 预测头不会修改基础模型权重。 可用无需标签的 L0 读出,或借助 transformers、vLLM 为特定问题拟合 L2 预测头。

    本地替代模型PythonREADME.md:129-130 @10d5db9
    873
  3. 3

    Rizzo Flow 在本地运行开放决策模型,通过兼容 Jev 的 HTTP 接口返回选择、概率、量表评分和数值。 它复现 Jev 的接口模式,并未复现专有架构或训练方法,属于独立项目。 使用 llama.cpp 部署所选模型,让兼容 TypeSafe 的应用代码连接本地端点。

    本地替代模型PythonREADME.md:42-47 @b9ba007
    749
  4. 4

    JevChat-Windows 通过本地 OCR 读取微信和 KakaoTalk 对话,在聊天窗口旁提供候选回复。 Jev 判断意图、紧张度并为三条候选排序;独立语言模型负责起草。 在 Windows 10 1903+ 或 Windows 11 上,分别配置判断服务与起草服务的密钥。

    Jev 应用PythonREADME.md:45-52 @c6d3a10
    651
  5. 5

    悬浮聊天面板显示意图、风险判断和候选回复,用户可复制或填入聊天输入框。 使用 macOS 13 或更新系统的 Apple Silicon Mac。截图读取需要屏幕录制权限,文本接口读取或填入需要辅助功能权限;在设置中选择判断与生成服务。

    431
  6. 6

    JevHarness 让语言模型编写任务专用特征、问题和控制逻辑,可利用奖励及完整轨迹改进。 可用网站脚本本地浏览归档的宝可梦运行,或安装技能并描述任务来构建框架。

    Jev 集成PythonREADME.md:77-83 @34d5c96
    384
  7. 7

    候选评分头直接为门控、路由与评分返回分布,无需解码文字或 JSON 答案。 README 对比的是经基准数据训练的 AgentJev 专用模型与零样本评估的 Jev 1.13.0,训练条件不同。

    研究评测PythonREADME.md:151-157 @a965ca8
    322
  8. 8

    Left-pad strings with TypeSafe AI's Jev. For reasons.

    Jev 应用JavaScriptREADME.md:21 @4f40535
    85
  9. 9

    An open-source JEV-powered workbench for streaming data selection, quality evaluation, automatic LoRA training and held-out model evaluation.

    研究评测PythonREADME.md:160 @6b7b86a
    61
  10. 10

    An unofficial local visualizer for Jev (TypeSafe): a live view of every call your code makes. Not affiliated with TypeSafe AI.

    Jev 应用JavaScriptREADME.md:42 @495a4e4
    59
  11. 11

    A lightweight, native Swift 6 bridge integrating TypeSafe AI's Jev System One decision model into Apple's Foundation Models framework.

    Jev 应用SwiftREADME.md:17 @2293196
    50
  12. 12

    an open-source, from-first-principles reconstruction of the ideas behind TypeSafe AI's Jev, written in pytorch

    研究评测PythonREADME.md:14 @93843ef
    44
  13. 13

    Typed-judgment admission control at the traffic edge: three-layer prompt-injection and abuse filter for nginx/OpenResty, powered by TypeSafe Jev. Fail-open, cached, hot-reloadable.

    37
  14. 14

    5m BTC Up/Down Polymarket trading agent using Typesafe Jev as the decision layer & TUI

    Jev 应用TypeScriptREADME.md:12 @82621c8
    35
  15. 15

    A Clash Royale bot with no trained policy: Jev (TypeSafe System One) makes every decision from the live game state

    Jev 应用PythonREADME.md:103 @8481a91
    33
  16. 16

    亚微秒级 System-1 模型,准确率服从高斯分布

    Jev 应用RustREADME.md:39 @b54ec47
    33
  17. 17

    Unofficial PoC: a BERT-style encoder decision engine behind a typed-decision (noul / choice / score) HTTP API. Not affiliated with TypeSafe.

    Jev 应用PythonREADME.md:24 @f0994cd
    33
  18. 18

    Calibrate Jev questions against your own labels: tune criteria on labelled examples, confirm on a held-out set, get a verdict per question. Unofficial.

    Jev 应用TypeScriptREADME.md:22 @28bc620
    32
  19. 19

    Laya (open source, local) vs TypeSafe Jev (API): two AI models race in Snake and fight in a Mortal-Kombat-style arena. Every move is a real model decision.

    研究评测JavaScriptREADME.md:17 @b02d19a
    30
  20. 20

    Jev shadcn-block generator

    Jev 应用TypeScriptREADME.md:3 @2c794ef
    29
  21. 21

    Score every test against a git diff with Jev, and emit the filter arguments vitest, node:test, Playwright, cargo test and go test already understand

    Jev 应用TypeScriptREADME.md:456 @955bdf4
    29
  22. 22

    微信里的话不知道怎么接?macOS 悬浮聊天助手:识别消息意图与沟通风险,GPT 生成多种话术,Jev 评估候选,一键填入微信。话我帮你想,发送你来定。

    Jev 应用PythonREADME.md:106 @b258df0
    25
  23. 23

    Run Jev-style typed decisions locally on your Mac with low RAM usage and fast responses

    Jev 应用PythonREADME.md:3 @cdbf19e
    22
  24. 24

    Software, by reflex. Say it, and the right small program runs: chosen by a calibrated classifier, run only when it is sure enough, and it asks before anything that cannot be undone. A CLI, a package manager and a TypeScript SDK: the first implementation of the idea.

    SDK / 客户端RustREADME.md:197 @f090536
    20
  25. 25

    A Minesweeper benchmark for LLM agents. One identical board, up to nine models in parallel, one clock, one tool layer.

    研究评测JavaScriptREADME.md:44 @acac190
    18
  26. 26

    Semantic "Did you mean?" for any CLI — wraps commands and uses TypeSafe's Jev to match subcommand typos by intent, not edit distance.

    17
  27. 27

    Craft Type-Safe Uncertainty-aware semantic pattern matching, control flow, and smart procedures for Effect DecisionModel and Jev

    Jev 应用TypeScriptREADME.md:111 @95c6791
    15
  28. 28

    System One judgments (noul/choice/score) from any LLM in one prefill — a Rust, Jev-compatible /v1/systemone engine

    本地替代模型RustREADME.md:63 @a56901b
    15
  29. 29

    Local, open-source Jev alternative: browser agent decisions with Laya (System One model) on your own machine. No cloud, no API key. Playwright/CDP, MCP-friendly.

    本地替代模型PythonREADME.md:76 @c71b7c7
    13
  30. 30

    A Swift package for typed decisions from language models (probabilities, choices, and scores), with support for local MLX models and the TypeSafe Jev API.

    Jev 应用SwiftREADME.md:218 @3e14027
    12
  31. 31

    ego lite skill — each DOM step decided in ~0.4s, no LLM turn

    Jev 应用JavaScriptREADME.md:72 @9e26c9a
    11
  32. 32

    ProphetLab's Texas Hold'em benchmark and playground for decision models: cash and SNG leaderboards, live replays, and bring-your-own-agent tables.

    研究评测PythonREADME.md:21 @549983a
    11
  33. 33

    Hermes Agent plans, Jev (TypeSafe) picks bounded actions, Mineflayer executes: Minecraft with no screenshots or keypresses from a model. Includes the reproduction of rmalde/minecraft-agent's Ender Dragon run.

    研究评测JavaScriptREADME.md:38 @440bec0
    10
  34. 34

    A local, offline System One server compatible with TypeSafe's Jev API. It answers typed yes/no, category and score questions with small open models.

    研究评测PythonREADME.md:10 @64a0b31
    10
  35. 35

    jev_elixir is a small, idiomatic interface for making typed decisions with Jev. It exposes application-level functions such as Jev.ask?/2 and Jev.analyze/3, while provider adapters handle the external API wire format. The first release supports TypeSafe's System One API and OpenRouter's Decisions API. Both providers support all three System One qu

    Jev 应用ElixirREADME.md:31 @fc47a99
    9
  36. 36

    Route form submissions to the right people with Jev and AI SDK.

    SDK / 客户端TypeScriptREADME.md:33 @27ea469
    9
  37. 37

    📏 Claude Code plugin that makes Claude follow your AGENTS.md: every reply and edit checked by TypeSafe Jev ✅

    Jev 集成TypeScriptREADME.md:38 @ed9c7d7
    9
  38. 38

    Zero-dependency System One decision harness: 5 semantic gates saving frontier AI agent tokens on trivial errors & doom loops. Python + TypeScript + Rust. MCP-compatible.

    Jev 应用PythonREADME.md:232 @8dad153
    9
  39. 39

    Site search that understands the question. Ranked by TypeSafe's Jev model.

    Jev 集成TypeScriptREADME.md:32 @1df37de
    9
  40. 40

    Community-maintained JEV runner integration for Midscene Test

    Jev 集成TypeScriptREADME.md:38 @f07d22f
    9
  41. 41

    使用 TypeSafe Jev 在 X/Twitter 时间线上识别低质量、垃圾和广告帖子,并在文字区域显示醒目的半透明水印。

    Jev 应用JavaScriptREADME.md:88 @56f2ac1
    9
  42. 42

    Trying to combine Jev with ontology

    Jev 应用PythonREADME.md:111 @51311b3
    8
  43. 43

    把对双休的支持,带进每一次购物。逛淘宝、京东时,JEV 实时猜测商品背后的工作制,疑似非双休直接盖上 PASS。原页生效,边逛边选。

    Jev 应用JavaScriptREADME.md:13 @ed7912d
    8
  44. 44

    Unofficial Go client for the TypeSafe AI System One API (Jev) — typed questions in, calibrated answers out.

    SDK / 客户端GoREADME.md:22 @37d8a92
    8
  45. 45

    Use local and hosted classifiers aka decision models aka Jev-like models, all through a single TypeSafe API

    本地替代模型TypeScriptREADME.md:146 @cca696b
    8
  46. 46

    Confidence-gated incident routing with TypeSafe Jev

    Jev 应用PythonREADME.md:99 @63c0541
    8
  47. 47

    Claude Code plugin: asks TypeSafe Jev which installed skill fits each prompt and logs the answer (shadow-first). A working reference for the skill-suggestion cookbook on Claude Code — the README records why it is unlikely to help a strong model as a router.

    Jev 集成PythonREADME.md:24 @51f98f5
    7
  48. 48

    Agent skill and CLI that turn natural language, an LLM prompt, or the code that runs one into a TypeSafe Jev decision: typed state, Choice/Score/Noul questions, and a runnable script

    Jev 应用PythonREADME.md:170 @f3b6bc7
    7
  49. 49

    Type-safe Java 21 client for the TypeSafe AI Jev (System One) decision API

    SDK / 客户端JavaREADME.md:123 @0c1b10b
    6
  50. 50

    Give your AI JEV wings. A skill and plugin to build with TypeSafe Jev, upgrade LLM-only workflows and measure the result.

    Jev 集成JavaScriptREADME.md:9 @00acdbe
    6