Awesome JEV

Name: Awesome JEV
Author: daftAI2026

作者：daftAI2026版本 1.0.0i★ –i在云端运行

注册名称io.github.daftAI2026/awesome-jev

安装

概览

作者提供的说明（英文原文）

Search Jev / System One projects and read their recorded inclusion evidence.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i3 项中通过 3 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在云端运行
传输方式: Streamable HTTP
分类: 搜索与 AI 记忆

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：3 项中通过 3 项
在作者的服务器上运行：你向它提出的内容会经过他们的服务器。
可以做 2 件事（工具） search_projects, get_project
注册中心没有列出需要填写的密钥。

你需要

在云端运行无需安装任何东西，通过互联网连接

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude：

打开 Settings → Connectors
点击 Add custom connector
粘贴下面的地址，然后点击 Add
如果要求登录，请登录作者的服务

https://awesomejev.cc/api/mcp

在终端中运行这条命令

claude mcp add --transport http awesome-jev https://awesomejev.cc/api/mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "awesome-jev": {
      "url": "https://awesomejev.cc/api/mcp"
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "awesome-jev": {
      "type": "http",
      "url": "https://awesomejev.cc/api/mcp"
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

ChatGPT 只能连接互联网上的服务器：

打开网页版 ChatGPT → Settings → Connectors (Apps)
点击 Create 或 Add（部分套餐需要先在 Advanced 中开启 Developer mode）
粘贴下面的地址，起个名字，然后保存
如果要求登录，请登录作者的服务

https://awesomejev.cc/api/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上，无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

工具名称和描述与服务器在 2026年11月7日报告的完全一致。这些内容由作者撰写，不是我们写的；我们以纯文本形式显示。

search_projects
Find public Jev / System One projects by keyword, category, tag or language. Returns bounded pages from a build snapshot.
get_project
Read one public GitHub project and its inclusion evidence. Resolves known old addresses; missing or hidden identities return null.

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 daftAI2026 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
✓ 通过
端点有响应
在 541 毫秒内响应（HTTP 200）
– 不适用
使用 OAuth 登录
无需登录
✓ 通过
工具描述中没有隐藏指令
已读取 2 个工具描述，未发现针对 AI 的隐藏指令

与“搜索与 AI 记忆”中的其他服务器比较i

星标数多于此分类中其他 5668 个服务器的 0%
发布到注册中心的时间比此分类中其他 5668 个服务器的 69% 更新
基础检查结果等于或优于此分类中其他 5668 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

Awesome JEV 安全吗？

它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

注册中心没有列出必需的密钥，不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端？

它在作者的云端运行。通过互联网连接，无需安装，但你发送的内容会经过作者的服务器。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（1.0.0）于18天前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接，所以接受远程 MCP 服务器的应用也可以使用，例如开启开发者模式的 ChatGPT。

有什么可以替代它？

同一分类中有：Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者：upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT昨天更新

安装

Codebase Memory

作者：DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT21天前更新

安装

Exa

作者：exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT2个月前更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Awesome JEV

A curated list of TypeSafe [Jev](https://typesafe.ai/blog/introducing-system-one-models-and-jev) / System One ecosystem projects — official SDKs, agent skills, browser & computer-use demos, MCP connectors, routers, and community awesome-lists. Independent open-source typed-decision alternatives are listed separately and are not presented as official or drop-in compatible. The site groups GitHub projects by primary use and presents Jev news separately.

Site: awesomejev.cc · Projects: data/github.json · News: data/news.json

Docs: Architecture · Data model · Collector · Contributing

Agents & automation
Browser & computer use
SDKs & integrations
Developer tools
Research & evaluation
Learning & resources
Project directories
Apps & demos
Open-source alternatives
Other
Site
Automated updates
Contributing
License

Agents & automation

cua - Scale computer-use 2.0 with open-source drivers, cross-OS fleets, and benchmarks for training, evaluation, and data generation. · Rust
composio - Composio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into action. · TypeScript
pydantic-ai - How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end. · Python
baml - The programming language for agents · Rust
jev-trader - One AI trade decision every Monad block — Jev on Kuru MON-USDC. · TypeScript
openharness - Follow your curiosity. Build across disciplines. Open-source software and hardware for polymaths in the making. · TypeScript
hermes-jev-skills - Jev-powered model routing, memory, compaction, skill selection, computer and browser use for Hermes agents $also Claude Code and Codex$ · Python
foreman - Software Factory Foreman based on TypeSafe Jev model. · Python
pi-extensions - A monorepo of Pi Coding Agent extensions · TypeScript
jev-router - Route to the cheapest model in Claude Code for your task using jev-router. · JavaScript
JevRouter - A lightweight Jev-powered router for models, tools, and subagents · TypeScript
typesafe-mario - A TypeSafe/Jev agent that plays Super Mario Bros. from structured emulator state. · Python
jev-gateway - An easy way to use jev with your coding agent for tool calling reasoning · TypeScript
deepdoc - Deep research tool for local knowledge base. · Python
jev-codex-router - Per-turn model & reasoning routing for Codex, driven by Jev $TypeSafe System One$: picks the model, thinking depth and speed mode for every turn. · JavaScript
jev-dsh-decision - Jev DSH 决策引擎｜面向 Agent Harness 的结构化决策插件。原生支持 DeepSeek Harness，通过 iPolloWork 支持 OpenCode、Codex Harness。 · JavaScript
OneJev - 🚀🚀 A multimodal System One decision model that gives calibrated answers to typed questions about screens, photos, video and text in one forward pass. · Python
dsh-jev-plugin - Native DeepSeek Harness $DSH$ plugin integrating TypeSafe Jev or Decision api like luna as a System One decision layer for agent selection, supervision, corrections, and approvals. · JavaScript
jev-social - Jev-powered Instagram, TikTok, and LinkedIn research: typed routing, real browser evidence, streamed post cards, video capture, and cited socai reports. · JavaScript
Jevmind - Jevmind: TypeSafe Jev ecosystem repository. · Python
neo4jev - Typesafe.ai System One Model Jev navigating a Neo4j graph by using a classifier over neighbouring relationships · Jupyter Notebook
system1-agents - System 1 decision models $Jev, Laya, Cua-S1$ as brain for agents: Browser use, computer use, games and robotics · Python
pi-warden - Guardrails for Pi built on pi-typesafe that steer the agent instead of interrupting you: Jev judges irreversible and off-task tool calls, detects stuck loops, checks unverified done claims, flags slop · TypeScript
pi-jev - TypeSafe Jev as a decision layer for the Pi coding agent: a measured tool-call gate plus jev\_ask for typed, calibrated answers · TypeScript
jev-guard - Auto mode for every coding agent, built on Jev: risk-scores every tool call with session context $deny / ask / allow$, flags prompt injection in results, checks skills and plugins. Claude Code, Codex, Copilot, Gemini, Cursor, pi, OpenCode, ACP. · JavaScript
quicksilver - Claude Code skill: hand bulk judgment calls to Jev. 86% fewer Claude tokens on a 12-task benchmark, up to 20x faster. One-line npx install. · JavaScript
skillranker - Rust CLI powered by Jev from TypeSafe.ai that ranks agent skills for the next step using live session context. Includes Claude Code hooks, structured JSON, abstention, and local feedback. Requires a TypeSafe API key. · Rust
jev-voice - Talk to your Mac. Local whisper.cpp + one Jev $TypeSafe$ call per command + macOS automation. · Python
jev-pokemon - jev-pokemon: TypeSafe Jev ecosystem repository. · TypeScript
agent-router - CLI that picks Cursor, Claude Code, Codex, or OpenCode + model/effort for a task, then launches it. Powered by Jev and Herdr · TypeScript
stanley-code - Bounded TypeSafe Jev workflows for coding agents. · TypeScript
winnow - A calibrated context sieve for Claude Code: every tool result is judged by a System One model before it enters context. · Python
jev-kit - Everything you need to run TypeSafe's Jev with Claude Code: a tool-call guard, tier guard, file search, browser agent, review, belay, compaction and installers. · Python
jev-libero - Fine-grained robot control with Jev, physics previews, and configurable LIBERO tasks. · Python
jevcrawl - MCP server and CLI that crawls websites for AI agents: finds the answer page 2x more often than Crawl4AI, 10x cheaper per answer than letting Claude crawl. · Python
pi-jev - Semantic tool routing and typed System One decisions for the Pi coding agent using TypeSafe Jev · TypeScript
openthai-systemone - OpenThai-SystemOne: open Thai + English System One decision model $0.8B, 256-way slot head, Apache-2.0$ · Python
jev-use - Claude Code / Codex / pi plugin that hands agent steps needing no text output to Jev $TypeSafe's judgment model$ — measured p50 ~230 ms and ~$0.02 per 1,000 judgments, with typed escalation back to the LLM · JavaScript
ConsciousDB - A database-agnostic Agentic GraphRAG framework using swappable System One models $local Laya / cloud Jev$. A plug-and-play intelligence layer featuring a complete 4-phase pipeline, continuous evaluation and custom A\* traversal for any graph database. · Python
hermes-nerve - Nerve is a supervisory nervous system for Hermes agents, adding typed System One decisions, ranking, verification, token-aware oversight, and an opt-in tool gate powered by TypeSafe Jev or Open Source Laya · Python
jevify - An agent skill to discover TypeSafe Jev opportunities, design typed questions, and learn from recent community experiments. · Python
jev-sift - Classify first. Read selectively. A portable agent plugin and MCP tool for batch text classification. · JavaScript
jev-cua - Voice and text control for macOS. One floating bar, live UI action selection with Jev, and a continuous observe–act–verify loop. · Swift
ask-jev-skill - Skill for Hermes, and other agents, to ask typesafe's jev · Python
claude-router - Claude Code plugin that auto-picks the right model for each turn — micro, low, medium, or high tier — using Jev routing. · JavaScript
jev-superpowers - Systematic software development framework for AI coding agents upgraded with TypeSafe Jev System One typed decisions · HTML
jev-harness - A custom coding harness for TypeSafe AI's Jev: an LLM proposes, Jev answers narrow questions, code decides, every step leaves a receipt. · TypeScript
pi-jev-skill-picker - Rank Pi Agent Skills for the current task with TypeSafe Jev · TypeScript
edgejev - 离线可用的本地类型化决策：4 核 CPU 单题 15.6ms。Local & offline Jev / System One inference on CPU — ONNX + INT8, no torch at runtime. 支持 laya / kev / PlayJev · Python
dsh-jev-interceptor - ⚡ Millisecond System-1 judgement for every tool call in DeepSeek Harness — Jev-powered risk classification & evidence-gated a

只显示了开头部分；其余内容请在仓库中阅读

Awesome JEV

概览

PopNx MCP 的三大支柱

它能帮你做什么

安装

安装之前

它能做什么

基础检查i

作者与仓库一致

仍在维护

有许可证

端点有响应

使用 OAuth 登录

工具描述中没有隐藏指令

与“搜索与 AI 记忆”中的其他服务器比较i

常见问题

替代选择

Context7

Codebase Memory

Exa

作者的 README

Awesome JEV

Contents

Agents & automation