We talk a lot about giving AI agents persistent memory—building a "Second Brain" or "Knowledge OS" where agents can log decisions and retrieve context. But what happens when that memory is wrong? I’ve been thinking about the gap between mechanical execution (the agent called the tool, the code compiled, the exit code was 0) and semantic truth (the conclusion drawn from that execution is actually correct in reality). It’s easy to assume that if the mechanical layer is solid, the seman...