a coding agent, rpc plugin, sub-agents, hashline edits, and mcp
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Updated
Sep 22, 2026 - Go
a coding agent, rpc plugin, sub-agents, hashline edits, and mcp
Software, by reflex. A sentence becomes a call of a small program, chosen by Jev, TypeSafe AI's classifier, and run only when it is sure enough. Reflexes are recipes anyone can write, share and improve. A CLI you talk to, a package manager for reflexes from git, and a TypeScript SDK.
Evidence-first long-term experiment memory skill for AI coding agents, with optional Jev decision-model layers
A Kotlin DSL and client for TypeSafe's Jev model
Control your Mac by voice. Speech → Jev (TypeSafe AI System One model) typed decisions → macOS actions. Menu-bar Swift app.
Unofficial developer notes & examples for Jev, TypeSafe AI's System One model. Try it free: jevtypesafeai.com
System One compatible API for open decision models, e.g. Laya, written in Rust.
Windows port of Laya typed-decision AI (ONNX Runtime + DirectML) — Core ML/Apple Neural Engine alternative with first-class Arabic support. No text generation, no hallucination, runs on any DX12 GPU.
Cloudflare Worker to check for profanity using TypeSafe Jev
JevPolicy is an open-source TypeScript decision runtime that turns probabilistic judgments from Jev, accessed through Vercel AI Gateway, into versioned, deterministic, replayable, observable application decisions.
An npm CLI that audits a codebase against ISO/IEC 27001:2022 Annex A and writes a detailed `iso-jevdit-report.md` you can hand to an auditor.
A Proxy that enables zero-shot system one typed-decisions endpoint for decoder only models served with vLLM or Sglang or Openrouter (Experimental)
Adapt language models to Jev-style structured questions.
Reproducing jev classifier API on top of llama.cpp
Go client for the Jev judgement API - ask structured questions about a piece of text and get typed answers back
Jev Guard is a real-time Windows process monitoring application powered by TypeSafe's Jev AI model. It tracks newly launched processes, logs event metadata (paths, command lines, and parent processes) to a local SQLite database, and classifies risk levels—labeling events as benign, suspicious, or malicious on a live interactive dashboard.
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