Digital sovereignty,
in your hands.

🕸️ Emergent Storage

Other AIs store memory — drop it in, pile it up, let it gather dust. Fengchao makes memory emerge: every new thing you save links itself to what is already there, weaving a web of understanding that belongs only to you. The longer you keep it, the denser the web; the denser the web, the better it knows you.

In engineering terms, there are three layers:

1. Storage with layers. Everything sits in one of four states — independent, pending, merged, emergent. Not a flat pile: a structure.
2. It remembers what shows up together. Things you keep using side by side are recorded as a co-occurrence relationship.
3. Co-occurrence shapes ranking — and you can always switch it off. Once those relationships are stable enough, Fengchao adds a very small weight on top of the existing ranking, nudging the thing you actually want a little further forward. Three rules are hard-coded: it only affects ranking — it never edits, moves, or deletes a single item; it is off by default (shadow mode, never taking over on its own); and turning it on can be reverted to plain keyword search in one step.

One line: memory isn't stock sitting in a pile — it's a structure that grows.

🌱 Recursive Self-Evolution

Large models are frozen the day they ship. Fengchao doesn't evolve by changing parameters — it moves learning outside the model and lets it grow there.

At a fixed hour every day the evolution engine runs itself: first a check-up (memory stats, index health, candidate backlog, health self-test); then, when a model is available, distillation — rules and judgements distilled from your real memory, written straight into the cognition layer. That chain (chaining, distilling) is the part Fengchao does entirely on its own, and the output doesn't wait for confirmation.

The key word is recursive: the next round reads back what the last round wrote. Before distilling, it reads the themes and cores of the cognition already on disk — to avoid repeating itself, and to carry on where it left off. So the cognition layer isn't a folder of loose files; it is built up layer by layer, where the question round N works out comes from what round N−1 settled. What it writes down keeps growing too.

It never pops up, never interrupts, never shows off — it only brings out conclusions it has already thought through, when asked. As of today, Fengchao's cognition layer has grown past a hundred conclusions on its own.