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Dear Sentinels
This week, we're diving into The Architecture of Trust. But before we get too carried away, I have a rather exciting announcement: over the coming months, I'll be adding an OSINT element to the mix. Negotiations are underway with a rather big name in the field, so stay tuned for updates next week fingers crossed, and all that. In less thrilling news, my five-year funding application was politely declined. Not to worry, though, I'm now aiming for the two-year pot of gold. Onwards and upwards, as they say. Now, let's get to the good stuff.
Onto Hermes Agent. Released by Nous Research in February 2026, Hermes is not your average AI assistant. Forget the coding copilots chained to an IDE or the chatbots that only know how to talk to one API. Hermes sets up shop on a server, remembers what it learns, and gets smarter the longer you let it run. The secret sauce? A so-called closed learning loop. When Hermes cracks a tough problem, it writes itself a handy skill document, so it never has to reinvent the wheel. These skills are searchable, shareable, and play nicely with the agentskills.io open standard. Add to that a layered memory system that actually remembers your preferences and project context (no more endless onboarding déjà vu), and you can see why Hermes is causing a stir. In fact, just seven weeks after launch, it had already racked up 95,000 GitHub stars. Clearly, it's not just me who thinks it's clever.
In the investigative article below, I'll walk you through how to get Hermes up and running as part of your virtual workforce. After that, we'll take a look at GAAP (Guaranteed Accounting for Agent Privacy) which, I promise, is more exciting than it sounds and fits right in with the rise of autonomous agents. But before all that, let's see what's been happening around the web.
