I built a desktop AI that scrubs your PII locally before it hits the cloud — here's every feature with real screenshots

The core thing: before ANY message leaves your machine, a local DeBERTa NER model runs on-device, finds names/emails/addresses/phone numbers, swaps them for stable placeholders (FIRSTNAME, EMAIL etc), sends the tokens to the cloud, and rehydrates the real data in the reply. The cloud never sees your actual PII.

I typed "draft an email to Dr. Sarah Chen at [ sarah.chen@acme.com ](mailto: sarah.chen@acme.com ), meeting at 42 Maple Street, call me on 555-0142" and the badge showed PRIVACY MIRROR - 10 SCRUBBED. The cloud got tokens, I got a real email back.

- Knowledge graph that builds itself from your notes and convos (43 nodes, 184 connections, didn't configure anything)

- Deep research mode hits 34 sources, reads full pages, produces a cited report with numbered references (~35 seconds standard mode)

BSL 1.1, flips to AGPL in 2029: https://github.com/primnox/main (its private for a moment I will make it public in 2 hours) Website: https://primnox.github.io

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