Screen a folder of CVs with the TypeSafe Jev decision model: typed judgments, an editable policy, free re-scoring.
Computer & desktop use — page 2
Desktop automation projects that read the screen or accessibility tree and act on native applications. Jev decides the next action and target.
140 active projects match this task, ordered by traction.
DeepSeek + TypeSafe JEV 微信回复助手:Windows 正式版、Apple Silicon macOS 预览版;本地 OCR 与人工可控回复
macOS computer use driven by Jev (TypeSafe System One) as the decision maker
Auditable vision and cross-platform Computer Use runtime for DeepSeek Harness — strict evidence, health-checked failover, original pixels, and Token accounting.
Jev-driven native GPUI testing: Rust accessibility bridge, bounded goal runners, and one-call pi integration.
A Kotlin Android SDK for UI automation powered by TypeSafe Jev, with an accessibility runtime and sample app.
Model and reasoning routing for Codex Desktop and CLI, with a Windows service and validated updates
Desktop app for paper-trading stocks and crypto on live prices, with TypeSafe's Jev making the calls and your stops, targets and limits enforced in code. Windows and macOS; never touches real money.
AX-first computer use for AI agents on macOS with optional Jev (TypeSafe System One) semantic guards: calibrated target/input judgments before an irreversible action, decisions kept in code. Accessibility-tree targeting, window-scoped input, clipboard-safe paste, read-back verification. Ships a pip CLI, a pi package and a DeepSeek Harness plugin.
Control your Mac by voice. Speech → Jev (TypeSafe AI System One model) typed decisions → macOS actions. Menu-bar Swift app.
Open-source native computer use for macOS and Windows: TypeSafe Jev, local OCR, and selective planning.
Windows 版微信聊天副驾(上游 fork):本地 laya 判断引擎免密钥运行 + 修复高缩放屏抓取错位 Windows fork of jev-chat: key-free local laya judge + DPI-aware screen capture fix
An OpenAI-compatible proxy that sits between your LLM and your users. It evaluates each sliding window of tokens while the response is still streaming and cuts the stream before a violating token can reach the screen.
Reimagined window switcher for macOS using frontier artificial intelligence. Predicted by TypeSafe's Jev model
Run AI coding agents in parallel, each in its own git worktree. Desktop app for Linux, macOS and Windows (Tauri + Rust).
The first screen-time app built on Kev and Jev. Local-first on Apple silicon for free & privacy. Blocks the mechanism (Shorts, feeds, livestreams), not the site or app.
A TypeSafe-native (Jev) coding agent built on Recursive LLM Context Decomposition (RLCD), with a native macOS client
🚀 Blazing-fast native macOS menu bar companion for Notion. Pure Swift & SwiftUI (<3MB), 8 languages.
Jev for Hermes: skill discovery, multi-skill advice, adaptive reasoning effort, model recommendations, typed assessments, session re-ranking, and computer use.
Building the DeepSeek Harness plugin ecosystem: 42 open-source plugins in a 46-repo family, 45 PerryLink-owned - security, workflows, research, messaging bridges, developer experience - plus the DSH Desktop Market catalog, a certification registry and the dsh-plugin-doctor CI checker. Cordis + deepseek-ai contributor, plus 24 merged PRs to laya.
Control your Windows PC by voice. Speech-to-text runs locally, and TypeSafe's Jev picks which app, site or action you meant.
Experimental native Codex Desktop and CLI model routing with Jev and a configurable allowlist
Crush 好感监控器的 Windows / macOS 安装包(第三方打包,源码与版权属原作者 FerryCorleone/crush-monitor)
Jev voice-controlled computer use: hold a key, speak, and Jev operates your apps. Windows today; macOS, Linux and Android ports welcome.