Andrew Ng's new open-source agent delivers finished work on Mac
Andrew Ng just launched OpenWorker, an open-source Mac agent designed to hand you finished work like drafted reports, Slack messages, and calendar updates rather than just chatting. It works across your local files, pauses for confirmation before consequential actions, and lets you plug in your own API key or run locally via Ollama. Basically, it gives users a privacy-first coworker where your data never leaves your machine.

OpenWorker is an open-source Mac agent built by Andrew Ng and Rohit Prasad that actually delivers finished deliverables rather than just chatting back and forth.
What it can do
Instead of just giving you advice in a chat box, it works across your local files and everyday work tools. You can tell it to prepare a customer brief, untangle a messy calendar, draft a full report, or triage incoming alerts on Slack. It hands you a polished document or executes the action directly.
To keep the agent from going rogue, OpenWorker checks in with you for confirmation before taking any consequential action.
It also avoids model lock-in by letting you bring your own API key. You can point it to GPT 5.6 Sol, Claude Fable, Gemini 3.6, or open-weight models like DeepSeek, Kimi, and GLM. If you want maximum privacy, you can run it completely offline on your Mac through Ollama. Your data stays on your machine unless sent through the specific providers you choose. The code is available on GitHub, and Windows support is on the way.
Why it matters
If you want an AI coworker to handle tedious busywork without shipping your company files to a proprietary cloud, OpenWorker is well worth testing.
We think the smart move here is prioritizing privacy and user control over a flashy all-in-one platform. It requires you to supply your own keys or run local inference, which raises the setup bar a bit, but keeping consequential actions gated behind human confirmation makes it far more practical for everyday office workflows.
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