Awesome JEV

Name: Awesome JEV
Author: daftAI2026

by daftAI2026version 1.0.0i★ –iRuns in the cloud

Registry nameio.github.daftAI2026/awesome-jev

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi3 of 3 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs in the cloud
Transport: Streamable HTTP
Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 3 of 3 passed
Runs on the maker’s server: what you ask it goes through their server.
Can do 2 things (tools) search_projects, get_project
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://awesomejev.cc/api/mcp

Run this in your terminal

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

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://awesomejev.cc/api/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Tool names and descriptions exactly as the server reported them on Nov 7, 2026. The maker wrote them, not us; we show them as plain text.

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.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account daftAI2026, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
✓ Pass
Endpoint responds
Responded in 541 ms (HTTP 200)
– Not applicable
Sign-in with OAuth
No sign-in needed
✓ Pass
No hidden instructions in tool descriptions
Read 2 tool descriptions and found no hidden instructions to the AI

Compared with others in Search & AI memoryi

More stars than 0% of the other 5668 servers in this category
Published to the registry more recently than 69% of the other 5668 servers in this category
Basic checks equal to or better than 100% of the other 5668 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Awesome JEV safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 18 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday

Install

Codebase Memory

by DeusData

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

Runs on your computer★ 48,148MITUpdated 21 days ago

Install

Exa

by exa-labs

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

Runs in the cloud★ 5,213MITUpdated 2 months ago

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

Only the beginning is shown; read the rest in the repo

Awesome JEV

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

Awesome JEV

Contents

Agents & automation