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Awesome Official Jev Projects

Explore an awesome collection of 6 verified open-source Official Jev projects on bestjev. Compare GitHub stars, languages, repositories, and implementations.

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  1. typesafe-ai/skills

    Official
    765

    Official agent skill for Claude Code, Codex, and compatible agents: primitives, patterns, and how to structure evaluations.

  2. typesafe-ai/system-one-adapter-python

    Official
    171Python

    Official drop-in TypeSafeClient replacement backed by OpenAI, Anthropic, and compatible LLM APIs, for comparing Jev against chat models.

  3. typesafe-ai/typesafe-sdk-js

    Official
    168TypeScript

    Official TypeScript/JavaScript client with inferred answer types. npm install @typesafe-ai/sdk.

  4. typesafe-ai/typesafe-sdk-python

    Official
    128Python

    Official sync and async Python client. pip install typesafe-sdk.

  5. typesafe-ai/daggerverse

    Official
    12Python

    Official collection of reusable Dagger modules for TypeSafe AI and System One workflows.

  6. typesafe-ai/Overwatch

    Official
    4Python

    Official tooling for observing and evaluating System One workflows.

Category guide

What does the Official category include?

Official Jev projects are the primary implementations, examples, and resources published or maintained by TypeSafe AI.

This category includes first-party repositories whose ownership and documentation provide authoritative evidence about Jev APIs, primitives, and supported workflows.

Official FAQ

What qualifies for the Official category?

This category includes first-party repositories whose ownership and documentation provide authoritative evidence about Jev APIs, primitives, and supported workflows.

How should I compare Official projects?

Start with the documented use case, repository activity, primary language, license, and visible Jev implementation. GitHub stars are a dated discovery signal, not a quality score.

How does bestjev verify Official entries?

bestjev checks public repositories, project-authored documentation, code, demos, and other visible evidence. Always confirm current behavior and compatibility in the upstream project.

Which sources support this category?

bestjev grounds this category in named primary sources: Official Jev documentation · Public GitHub repositories.

“Typed outputs that software can act on.”TypeSafe AI