cobanov/awesome-jev

★ 246⑂ 42

A curated, source-backed list of projects built with Jev, TypeSafe AI's System One model for typed decisions.

About cobanov/awesome-jev

cobanov/awesome-jev is an open-source project on GitHub, mainly written in several languages. A curated, source-backed list of projects built with Jev, TypeSafe AI's System One model for typed decisions. It currently holds 246 stars and 42 forks with 1 open issues, and was last pushed on 2026-09-20 (repository created 2026-09-18).

Project Overview

AI Homed tracks it on the Today's Trending board, currently at rank #81 with 0 new stars today.

GitHub Repository Details

Repository cobanov/awesome-jev · default branch main · size 150 KB · watchers 3 · source: GitHub REST API and repository README

README

Awesome Jev Awesome

A curated, source-backed list of projects built with Jev, TypeSafe AI's System One model for fast, typed, probabilistic decisions.

Jev takes program state plus typed questions and returns constrained answers with probabilities. It is designed for software decisions such as classification, routing, scoring, ranking, verification, and guardrails, rather than free-form text generation.

This list favors public source code, concrete Jev usage, clear limitations, and reproducible evidence. The latest review added 20 source-reviewed integrations, projects, and studies, bringing the community catalog to 155, alongside official resources, provider integrations, and related lists. See the September 20 research notes for pinned source evidence and review boundaries. Review completed September 20, 2026 (Europe/Istanbul); upstream event dates below are UTC.

Contents

Start here

System One shape: text or structured state + typed questions → constrained answers + probabilities → deterministic application code.

Question primitives: Choice selects an option, Score evaluates ordered rubric levels, and Noul returns a number from 0 to 1 representing the probability of "yes". Review or abstention behavior is defined in application code. See the primitive reference.

Input boundary: the hosted Jev model is text-only. Browser, audio, image, and robotics projects supply extracted text or structured observations, or use separate perception models. Independent multimodal reproductions are listed separately.

Good fits: semantic routing, triage, reranking, rubric scoring, moderation, verification, and low-latency decisions inside bounded workflows.

Important caveat: schema-valid output is not the same as a correct decision. Validate on your own data, calibrate thresholds, keep high-impact actions behind deterministic checks, and provide a human fallback.

Recent developments

September 18: Python SDK 0.7.0. Release notes document a breaking serialization change from msgspec to Pydantic, a new response_model argument, and corrected serialization of str subclasses.

September 18: OpenRouter listing. Jev 1.13 is listed with a September 18 date. This is a provider listing date, not evidence of a separate new upstream model revision.

September 16: Vercel AI Gateway integration. The integration introduces typed evaluation via AI SDK's experimental evaluate API.

Current model: TypeSafe documents jev-1.13.0, with both jev-latest and jev-preview currently pointing to it. Pin the version when comparing evaluations.

September 20: framework adoption. Source-level Jev integrations are now present in LangChain, Pydantic AI, LiteLLM, Rig, Composio, Effect, BAML, Ax, and TanStack AI. Availability and release status vary, so inspect the linked repository before depending on a package.

Official resources

Provider integrations

Framework integrations

Upstream framework integrations with inspectable Jev implementations. Presence on a default branch does not guarantee a stable package release.

SDKs and developer tools

Community-maintained clients and tools; official TypeSafe SDKs are listed above.

Agents, coding, and guardrails

Source-reviewed experiments and integrations. A model judgment does not establish safety or replace the host application's permission checks.

Context and compaction

These tools select what reaches a model. Preserving retained text verbatim does not prove that omitted history was unnecessary.

Browser and computer use

These projects can operate real browsers or devices when enabled. Published demos have task-specific success criteria and do not establish general reliability.

Routing, data, and workflows

GitHub Stars & Activity

246Stars
42Forks
1Open issues
-Language

GitHub Popularity

GitHub stars246
Forks42
Open issues1
Primary language-
LicenseCC0-1.0
Stars gained today0
Created2026-09-18
Last pushed2026-09-20

Trending History

Daily boardrank #81 · ▲ 0 stars

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