Dryft: What if AI memory worked like an ecosystem instead of a filing cabinet?

I'm a vegetable farmer in Western Canada. I run a regional food hub. I'm not a developer. But I spend a lot of time thinking about how systems work, how pieces interact, and what happens when they don't. I've been watching the AI memory conversation, especially in the agent space. The pattern I keep seeing is the same one I see in a lot of tech: things built in isolation that don't interact well. Memory right now is basically a static field. You write things to files. You search for similar text. When the context window fills up, you compress. Important stuff disappears. Old decisions sit at equal weight to current ones. Nothing ages. Nothing connects. Nothing dies. In nature, that's not how memory works. Things that matter get reinforced. Things that don't, fade. Related things bond together. And there's a predator that removes what the system can no longer afford to carry. It's not storage. It's ecology. What I built Dryft is a working system for ecological AI memory. Memories aren't