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agent-desktop, an Apache-2.0 Rust CLI from Vercel Labs, gives coding agents structured, ref-based control of native desktop apps without a vision model. It added about 2,300 stars in a day and was GitHub's top trending repo on November 3.
Discord's CTO says the desktop client is being rewritten in Rust with the GPUI framework, dropping Electron and React Native. An early Windows build was shown using about 290MB of memory, but there is no release date and no independent testing yet.
A detailed bug report shows Postman 12.33.4 auto-installed its AI agent plugins into Codex and Claude Code for an existing user, added a startup hook that steers API work through Postman, and ran installer code that pre-approves that hook. Postman says it will make opt-in clearer. If you use Postman and a coding agent, check four files.
Meta has acquired Conductor, the Mac app for running several AI coding agents in parallel. Sign-ups have stopped, the hosted Cloud goes read-only on November 13 and is deleted from November 20, and the desktop app winds down in early 2027.
NOIR, a new MIT-licensed desktop tool, scans an Android phone over USB debugging and links each app's sensitive permissions to the tracking and ad domains hard-coded in its code. It went from zero to about 1,800 GitHub stars in four days. It's a useful map of risk, but its findings show what apps can do, not proof of what they actually sent.
Researchers found a malicious instruction file that tricked a coding agent into installing an unauthorized npm package — and reproduced it with a 90% success rate. Five settings that close the hole.
An OLED touch MacBook Pro with a Dynamic Island, M6 updates to the 14-inch MacBook Pro and iMac, and a $22,299 Mac Studio. Pre-orders are open; everything ships November 6.
Three small projects from this week's GitHub trending list that are clever, useful, or both — with what they do, how they work, and the catches.
The MIT-licensed AiSOC ingests security telemetry, runs thousands of detection rules, has LLM agents investigate alerts and keeps a human in charge of any response. It runs on a laptop-class Docker setup with a small local model — here's what it does, what it needs and where it falls short.
