Rahul

This short demo shows how Mnexium works as a memory and context layer for AI apps.

Mnexium sits between your app and the LLM to provide:

• Persistent memory across sessions

• Inspectable & resumable chat history

• Structured user profiles and long-term context

• Automatic recall and injection no prompt juggling

The goal is simple: AI apps that remember users, stay consistent, and feel stateful by default.

Thanks @morajabi for the LED code! Now, when you press Capslock, the LED will also toggle on and off.

It's a really brittle implementation right now and can easily de-sync. It assumes that you start muted and then, when you press Caps Lock, you un-mute. To switch the toggle, simply double tap Caps Lock.

I could imagine building out a series of checks to try and sync up Caps Lock, the Caps Lock LED with mute function. First, I wanted to ship a really simple version to see what it feels like. Try out the new app and let me know if the LED is an improvement!

The shift toward "Vibe Coding" feels like we ve finally moved from being construction workers to being conductors. We are spending less time fighting syntax and more time sculpting the "intent" of our software.

However, as I ve been leaning into this AI-native workflow, I ve noticed a recurring tension that I d love to get the community s take on:

1. The "Black Box" Debt: When we "vibe" our way through a feature in 20 minutes that used to take 4 hours, are we unknowingly inheriting technical debt that will haunt us when the "vibe" inevitably breaks?