jevkit: fast typed decisions for agents. CLI and MCP tools (route, triage, guard, grep, rank, compact, judge) on TypeSafe Jev. Zero dependencies.
Jev ecosystem projects — page 47
5191 repositories with documented relationships and source evidence.
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A character-level language model built on Jev, a System One classifier
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A lightweight .NET client for the TypeSafe AI API (System One / Jev). One dependency; a faithful port of the official Python SDK.
🚀 Blazing-fast native macOS menu bar companion for Notion. Pure Swift & SwiftUI (<3MB), 8 languages.
Practical agent skills and examples for building with Jev. API setup, routing, ranking, and evidence checks.
One-click AI tab grouping for Chrome — Jev typed decisions (~1s, whole window) or any OpenAI-compatible LLM that invents its own group names. Featured in awesome-jev.
Jev Can Trade Stocks — a point-in-time O'Neil momentum backtest where TypeSafe's System One model picks the entries and judges the exits
No project description available.
Message triage CLI in Go, built on the Jev decision model from TypeSafe AI. Categorizes messages, scores urgency, and flags low-confidence ones for human review.
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A pluggable decision substrate for RAG pipelines; explicit, calibrated state → Decision → confidence → action gates, with Jev as the first swappable backend.
Sub-100ms security gate for AI agent tool calls, powered by TypeSafe's Jev (System-1) decision model. Single-request Choice/Noul/Score evaluation, dual-factor blocking matrix, calibrated-confidence routing, fail-closed parsing, zero-config local fallback. LangChain-ready.
Three measured experiments on RAG hallucination: quote-checking, TypeSafe's Jev, and IBM's STAIR. 850+ graded questions, raw responses included.
An automated research paper radar that fetches the latest papers from arXiv, evaluates their relevance to a configurable research profile using TypeSafe AI, and ranks them by relevance score. Designed for personalized, daily literature discovery across different research domains.
Real-time AI / solicitation / parrot-bot scores for X posts and replies. Chrome extension + Workers API on open-compute, judged by TypeSafe Jev.
Use the TypeSafe Jev decision model (System One) anywhere: zero-dependency OpenAI-compatible bridge for 9Router, Claude Code, Cursor, Cline & any OpenAI SDK. Typed yes/no, choice & score judgments via CLI or HTTP.
Unofficial .NET port of the TypeSafe AI client SDK (typed questions & answers)
DSH plugin: register TypeSafe Jev (System One decision model) as an agent tool — jev_decide returns calibrated probabilities (noul/choice/score) for routing/triage/guardrail judgments, no text generation. 把 TypeSafe Jev 决策模型注册为 DSH agent 工具
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Ruby client for the typesafe AI Jev model
No project description available.
Browser QA where Playwright drives and films, and TypeSafe Jev judges. JSON-flow CLI for agents, run dashboard, agent skill.
Let Jev, TypeSafe's ~100ms decision model, drive your browser. A plug-and-play skill for Claude Code and Codex.
A browser form for building requests to TypeSafe's Jev: pick a template, fill in the blanks, copy the request. No JSON, no install, runs locally.
Does Jev's confidence mean what it says? Calibrating Jev (TypeSafe System One) with Platt scaling and isotonic regression.
Smart Codex overlay featuring JEV-model-based routing, contextual optimization, and Kanban automation. Reduce token consumption by up to 70% while maintaining control