wev + Jev: Local System-One decision models

This browser agent turns visible page controls into an indexed action space for a natural-language goal. Jev chooses the operation and compatible element in one request; a separate small LLM generates text for TYPE_TEXT.

typesafe-computer-use turns a written goal into desktop actions using OCR and accessibility controls on a Mac. TypeSafe Jev chooses the action, target and site; code supplies facts, while a separate writer handles free text. Provide a TypeSafe key and screen-recording and accessibility permissions. The CLI offers a dry run before real mouse and keyboard control.

TipTour is a macOS menu-bar companion with Jev text tasks and a separate Gemini voice mode. Jev chooses locally detected controls; TipTour executes and validates clicks while screenshots stay local. Select a mode, supply its API key and grant permissions; building requires macOS 14.2+ and Xcode.

jev-voice-browser streams speech transcripts to a Node server controlling a visible Chromium window through Playwright. Jev selects intent and targets; code extracts literal text candidates and decides whether to act, wait or ask. Use Node 20+, a TypeSafe key and Chrome or Edge for the microphone control page.

Unclutter hides nonessential elements in Chrome, Chromium and Firefox using saved rules for matching page templates. Jev classifies candidate elements into typed categories; extension code validates responses and controls selectors and reversible hiding. Choose TypeSafe or Vercel credentials and analyze manually by default. Saved rules continue working offline.

Jev Browser runs a task from a starting URL and returns the final page, screenshot and decision trace. Use the npm CLI, MCP server or navigate library with Node.js 22 and a Jev provider key.

Instructions, tools, skills, channels and schedules live in conventional directories, making an agent project inspectable and extensible. The evaluate helper sends typed questions about supplied state through eve's model authentication, defaulting to Jev.

The native CLI supports an interactive shell, scripted requests and embedding, with skills, MCP servers and subagents. Jev receives review policy, context and the pending action, returning a clear or caution decision for the permission pipeline.

The platform supports developing and evaluating SRE agents against live system environments containing operational failure scenarios. Jev support is disabled by default; when enabled for Codex, it reviews diagnostic tests and submissions from evidence sent to TypeSafe.

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🚀 Feather Wand - JMeter Agent for performance engineers w/ Codex and Claude Code integration

Agent orchestration that guides projects toward demonstrable goals.