I hope you don't mind me asking you some ELI5 questions because I'd like to understand how this fits in with everything else.

I generally discourage my agents from storing memories locally because they don't travel; I'd much rather have a small in-repo document—whether it's an architectural decision or TODO or session log entry or runbook or environmental quirk or something else—that the prompt/CLAUDE.md/whatever can guide agents to grep and sed. Then I can dispatch work to a local agent, or a local agent running in a sandbox, or an agent running in a provider's cloud environment, or a GitHub agentic workflow running a headless harness, etc. and they all have access to it. Another benefit is that memory updates get PRs and reviews like everything else.

So what am I missing by not using something like engrim or gbrain?