Jev ecosystem projects — page 57

A type-safe Go SDK for building reliable integrations with strongly typed APIs. Designed to provide an idiomatic developer experience, compile-time safety, and convenient abstractions while reducing boilerplate and preventing common runtime errors.

Typed AI decisions for .NET: ask Jev (TypeSafe AI System One) yes/no, choice and score questions and get a C# enum with calibrated probabilities back.

First-class, NativeAOT-ready .NET SDK for TypeSafe AI System One, generated with AutoSDK.

Turn messy state into typed, auditable classifications, scores, and policy decisions over REST and MCP.

Jev-compatible adapter for vLLM: use any vLLM-served LLM for Choice, Score, and Noul decisions via logprobs—without modifying the model or vLLM service.

Jev for your X. XFlow is a Manifest V3 browser extension powered by Jev, with customizable filtering policies for a cleaner, more personalized X timeline. 专为 X 打造的 Jev。XFlow 是一款由 Jev 驱动的 Manifest V3 浏览器扩展，提供可自定义的过滤策略，助您打造更清爽、更个性化的 X 时间线。

Add as much tabular data as you want to JEV using adaptive ensembles that learn to query only the rows and columns needed.

Copy the most winning ads and have a synthetic focus group.

Agent X-Ray — find out why your AI agents fail.

基于 Jev 的 A 股 T+1 决策台：盘前预选 + 交易时段全程决策 + 本地概率模型 + 严格成本回测 + QMT 桥接（默认不下单）。1 万本金影子盘记录中；策略未证实正期望（README 有全部数据）。

Ultra-fast, fail-open advisory decisions and verbatim extractive reading view for AI coding agents and CLI pipelines

A curated guide to Jev, TypeSafe AI's System One decision model — selection advice, API-verified cookbooks, independent evaluations, and 100+ community. 中英双语

A community directory of open-source projects built on Jev, TypeSafe AI's System One model. Live index: jevusers.com

A crawler-maintained directory of projects built on Jev, TypeSafe AI's System One model. Daily GitHub + npm sweep, human-merged.

Experiments with TypeSafe/Jev semantic gates and a Semantic Operations Lab demo.

Pareto-optimal menu picks on cost, macros, deliciousness, and reviews — with TypeSafe/Jev scoring and a fixed output schema.

Jev Bayes, No? Testing TypeSafe AI's Jev against Bayesian-optimal strategies, and testing if Jev can effectivly use Bayesian priors.

Real-time reflex layer for Claude Code guarded by TypeSafe's Jev System One model: calibrated probabilities in, deterministic allow/warn/block decisions out.

Cursor plugin that routes subagents with TypeSafe Jev and exposes Choice, Score, and Noul as MCP tools.

Open benchmark runtime for document-grounded decision models

Automated friction logs for online documentation, scored section by section with TypeSafe Jev

⚖️ Judge git commits with Jev: is it breaking, does it deserve attention, and does its message tell the truth?