AppitStudio/awesome-jev

★ 64⑂ 7

Curated Jev resources and runnable examples for typed AI decisions.

About AppitStudio/awesome-jev

AppitStudio/awesome-jev is an open-source project on GitHub, mainly written in Python. Curated Jev resources and runnable examples for typed AI decisions. It currently holds 64 stars and 7 forks with 2 open issues, and was last pushed on 2026-09-21 (repository created 2026-09-18).

Project Overview

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GitHub Repository Details

Repository AppitStudio/awesome-jev · default branch main · size 1087 KB · watchers 0 · source: GitHub REST API and repository README

README

Awesome Jev Awesome

Discover Jev-powered apps, developer resources, and runnable decision examples.

Jev is TypeSafe AI's System One model: give it state and typed questions, then use the returned choices, scores, and probabilities in your code. This independent community directory collects applications that use Jev, resources for developers, and small, inspectable workflows to learn from.

Explore Jev-powered apps · Share your app

Try the beta web UI at JevList. Explore the projects in this directory through a searchable web interface. We're continually improving the experience—take a look and let us know what you think!

Contents

Explore Jev with our skill

Use Awesome Jev Guide to understand Jev and explore solutions that fit your needs. Describe your workflow in plain language, and your coding agent will help you choose an example, adapt a project, or build a suitable starter—with guided setup along the way.

1. Install the skill. With Node.js 22+ installed, run this in your project directory:

npx skills add AppitStudio/awesome-jev --skill awesome-jev-guide

Select your coding agent when prompted. For Codex, you can add --agent codex. No TypeSafe account or API key is needed to explore ideas or run the offline examples.

2. Open your coding agent in that project and try a prompt.

New to Jev? Start here:

Use awesome-jev-guide. Explain Jev simply, help me understand what I can
build with it, and walk me through the easiest example. I don't have
an API key yet.

Have a workflow in mind? Fill in the brackets:

Use awesome-jev-guide. Today I [describe the work I do manually].
I want to [describe the result]. I use [language, framework, or tools].
Help me find the best starting point in this repo and explain what
needs adapting. Ask me anything essential that's missing.

Ready to build?

Use awesome-jev-guide to build a small starter for [my workflow] using
[my stack]. Start with a working offline demo, explain what I should
customize, then guide me through API-key setup and a first live check
when I'm ready.

3. Follow the next step together. The guide uses current TypeSafe documentation and explains what already works, what needs building, and how to handle uncertain results. When you want live access, it walks you through private key setup—never paste a key into chat.

See the full onboarding guide for installation options, demos, and setup details.

Start here

Explore what you can build — choose a real implementation by the result you want, then follow its guide, worked example, and setup path.

Official SDKs and tools

These resources are maintained by TypeSafe.

Community projects

Browse the project directory for separate app and tool directories, each with full project pages covering use cases, setup, examples, limitations, and review evidence. The links below still take you directly to the upstream projects.

Checks are tied to reviewed versions; see each page and the validation scope. Mocked tests and reported live smoke checks do not establish model quality on your workload.

Apps powered by Jev

Applications with a user-facing workflow powered in part or entirely by Jev. The full app directory shows platforms, access requirements, and Jev's specific role. Tags distinguish source access from pricing; commercial and closed-source apps can qualify. Makers are welcome to submit their own apps.

Developer projects and integrations

The independent model research category explores related typed-decision interfaces with other models. Their local inference uses those models, and they do not provide official Jev weights.

GitHub Stars & Activity

64Stars
7Forks
2Open issues
PythonLanguage

GitHub Popularity

GitHub stars64
Forks7
Open issues2
Primary languagePython
LicenseNOASSERTION
Stars gained today0
Created2026-09-18
Last pushed2026-09-21

Trending History

Trending statusnot on today's boards

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