I built a self-evolving agent network — here's the architecture Building agents that can govern themselves turns out to be a three-layer problem. Here's what I built and how the pieces fit. The problem Most agent frameworks solve memory or tool use. Almost none solve governance — how do you stop a self-modifying agent from doing something it shouldn't? And how does it remember what worked last time? I've been building Cathedral (persistent memory + identity for AI agents) for a few months. This week I added two more layers: AgentGuard — a deterministic validation layer that sits between agent decisions and execution Cathedral Nexus — a meta-agent that reads the whole ecosystem, reasons about what to change, and executes through the guard Together they form something that self-evolves without needing human intervention — and can't remove its own safety constraints. Layer 1: Cathedral — persistent memory + trust scoring Each agent registers once and gets an API key.…