awesome-jev — security grade SAFE, quality 63/100

Security audit verdict: SAFE · quality 63/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by kraayenjon · MCP Server · ★ 113

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is awesome-jev safe to install? View the security audit →

About awesome-jev

Awesome Jev A curated list of Jev use cases, projects, SDKs, tools, and learning resources. Jev is the first System One model from TypeSafe AI — an AI model that returns typed decisions (Choice, Score, Noul) with calibrated probabilities instead of generated text. Looking for real-world Jev use cases with numbers? madewithjev.com is a directory of what people are building with Jev — every build with the cost, latency, and source the author reported. Submit yours → Jev launched in early access on September 15, 2026. This list is unofficial and not affiliated with TypeSafe AI. Pull requests are welcome — the ecosystem is days old and growing fast. Contents [What is Jev?](#w

agentsaiai-agentsapiartificial-intelligenceautomationawesomeawesome-listclassificationcurated-list

Quick Facts

Stars113
Forks22
CategoryMCP Server
Quality Score62.6276725417902/100
Open Issues12
Last Updated2026-09-21
Created2026-09-18
Platformsmcp
Est. Tokens~28k

awesome-jev alternative? Top 6 similar tools

Looking for a awesome-jev alternative? If you're comparing awesome-jev with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • awesome-jev-use-cases by walidboulanouar · ⭐ 112

    Awesome list of TypeSafe AI Jev use cases: 74 demos ranked by likes, 150+ GitHub repos, limits, cost and API e

  • neurolink by juspay · ⭐ 138

    The pipe layer of an AI nervous system — one interface connecting provider neurons to your application, across

  • awesome-jev-projects by logicrw · ⭐ 396

    Awesome Jev: source-backed open-source ecosystem radar, plain-language project discovery, and automatic GitHub

  • awesome-jev by AppitStudio · ⭐ 78

    Curated Jev resources and runnable examples for typed AI decisions.

  • awesome-jev-zh by yzfly · ⭐ 60

    Jev / TypeSafe System One 中文精选列表:官方资料、SDK、爆款应用、Agent 工具、开源复现与独立评测,附中文上手指南,每日自动收录 GitHub 热门项目。

  • awesome-typesafe by AbdelStark · ⭐ 400

    A curated list of official resources and community projects for TypeSafe, System One models, and Jev.

More MCP Server Tools

Explore other popular mcp server tools:

View all MCP Server tools →

Frequently Asked Questions

What is awesome-jev?

awesome-jev is A curated list of Jev use cases, projects, SDKs, and resources. Jev is TypeSafe AI's System One model for fast, typed decisions in software — Choice, Score, and Noul with calibrated probabilities.. It is categorized as a MCP Server with 113 GitHub stars.

How do I install or use awesome-jev?

You can find installation instructions and usage details in the awesome-jev GitHub repository at github.com/kraayenjon/awesome-jev. The project has 113 stars and 22 forks, indicating an active community.

What are the best alternatives to awesome-jev?

The top alternatives to awesome-jev on Agent Skills Hub include awesome-jev-use-cases, neurolink, awesome-jev-projects. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse MCP Server tools