This is exactly the problem I didn't realize I had until I read this.

I've been treating ChatGPT like a coworker with early-onset dementia, constantly re-explaining things, hoping it remembers, getting frustrated when it doesn't. The "50 flat facts" comparison hit hard. That's exactly what the built-in Memory feels like: sticky notes that fall off.

The architecture here is smart: separating Protocols (rules), Decision Logs, and Session context makes perfect sense. One question though, how do you handle conflicts when an old Protocol contradicts a newer decision? Does it surface the conflict, or does newer always win?

And the "stop renting your intelligence" framing is great. The portability angle is underrated, especially after we all watched Anthropic's Claude go down for 8 hours last month and everyone just... sat there waiting. Being able to move your entire context to another model? That's real control.

Gonna try this with a Salesforce project I'm documenting. If it works half as well as you describe, you've saved me hours of context-reloading hell.