heyjunpenn/awesome-jev

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🌐 Explore the website  ·  📜 Changelog  ·  🧠 Jev-like models  ·  ➕ Submit a project

Awesome Jev is an independent, community-maintained catalog of 962 open-source projects built with Jev, TypeSafe AI's System One model for typed decisions inside software. It is not affiliated with or endorsed by TypeSafe AI.

What makes this catalog useful?

Every entry identifies the concrete decision Jev makes and links to the strongest public evidence available—so you can evaluate real implementations, not just project claims.

• ✅ Official — 6
• 📦 SDKs & clients — 59
• 🧠 Jev-like models — 80
• 🧩 Frameworks & integrations — 82
• 🤖 Agent tooling — 232
• 🖥️ Browser & computer use — 76
• 🪟 Applications — 131
• 🎮 Games & simulations — 73
• 🧪 Demos & playgrounds — 66
• 📊 Benchmarks & research — 116
• 📚 Other lists — 41

This README is a dated snapshot of 962 unique public GitHub repositories. Stars were captured on 2026-09-18–30 for discovery, not ranking; verify current behavior, activity, and licensing upstream.

Jev takes a state plus one or more typed questions and returns structured answers that code can use directly. It does not generate prose.

Questions in one request share the same state and are evaluated independently. Complex decisions should be split into narrow questions and composed in ordinary code. Authorization, arithmetic, thresholds, side effects, and fallback behavior should remain in code.

New to Jev? Start with TypeSafe's official Introduction, then continue with Primitives, Confidence, and Patterns.

Most directories tell you that a project uses Jev. This list also records:

• What Jev decides — the exact judgment made inside the project.
• Decision anatomy — state → question → answer → code action.
• Call-site evidence — a link to the implementation when one is public.
• Reproduction status — whether a runbook exists and whether an independent reviewer ran it.
• Metric provenance — official, author-reported, or independently reproduced.
• Freshness — the last human review date and current project status.
• Reusable patterns — the architecture that transfers to other products.

We optimize for inspectability and usefulness, not list size or GitHub stars.

Project — What Jev decides.
Primitive: Choice · Pattern: Typed tool dispatch
Evidence: Call site verified · Maintainer runbook · Metrics author-reported

Verification labels describe separate facts. They are not a score or ranking.

A listed project must:

1. Be publicly accessible and citable.
2. Explicitly use Jev, provide an official Jev resource, or document an independent Jev-style implementation.
3. Make a concrete typed decision that can be described in one sentence.
4. Link to the strongest available evidence.
5. Disclose the submitter's relationship to the project.

A project does not need high GitHub stars. Experimental and early-stage work is welcome when its status and evidence are described accurately.

We exclude generic AI projects that merely resemble Jev, link dumps without a concrete decision, inaccessible sources, copied documentation, and performance claims without a traceable source.

Open a GitHub issue using the project submission template.

Please include:

• Project or repository URL
• Your relationship to the project
• What Jev decides
• Jev call-site URL, when public
• Primitive or primitives used
• Runbook or demo URL
• Metric sources and measurement method
• Optional localized summaries

Submissions without a public call site may enter the review queue and can be added after the implementation is verified.

To edit catalog data, verification metadata, translations, or repository tooling, read CONTRIBUTING.md. It contains the schema, editorial rules, evidence requirements, localization workflow, and validation commands.

LINUX DO

Awesome Jev is an independent community resource. It is not affiliated with or endorsed by TypeSafe AI. TypeSafe, Jev, and System One are names or marks of their respective owner.

Schema-valid output is not the same as a correct decision. Evaluate Jev on your own data, set thresholds according to risk, keep consequential actions behind deterministic checks, and provide an appropriate human fallback.

This project is released under the MIT License, unless a file states otherwise. Linked projects retain their own licenses.

Last catalog review: 2026-09-24