A curated list of tools built for Jev — TypeSafe AI's System One model for typed decisions.
-
Updated
Sep 30, 2026
A curated list of tools built for Jev — TypeSafe AI's System One model for typed decisions.
a coding agent, rpc plugin, sub-agents, hashline edits, and mcp
Deep research tool for local knowledge base.
Meet JevEmbed — turn embeddings into decisions. Choose, score, and judge with your choice of embedding model.
Open-source platform for creating, distributing and running sovereign EU-compliant LLMs. Verticalize any model for your domain, language and brand. AI Act ready.
Blazing fast, self-hosted structured decisions for open-weight models with a TypeSafe AI compatible API, written in Rust.
Software, by reflex. An open runtime that turns human intent into inspectable plans across small, composable programs, with explicit permissions and human approval before irreversible actions.
A Swift client for TypeSafe AI's Jev — typed judgements, not text
When Jev meets LLM -- Pair a small local LLM (System 2) with Jev model (System 1) to make small model more faster and accurate — OpenAI-compatible, private, and almost free to run in Kilo code and Cline.
A Kotlin Multiplatform DSL and client for TypeSafe's Jev model
Evidence-first long-term experiment memory skill for AI coding agents, with optional Jev decision-model layers
when a gopher met Jev
Control your Mac by voice. Speech → Jev (TypeSafe AI System One model) typed decisions → macOS actions. Menu-bar Swift app.
Find out whether a smaller model could handle some of your AI agent’s routine choices.
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)。
An unofficial CPP 20 SDK for the TypeSafe API
To associate your repository with the jev-api topic, visit your repo's landing page and select "manage topics."