On-device OCR is good enough for most capture flows

The interesting thing about long-context models isn't that they can read more — it's that they finally make the retrieval problem optional. When a model can hold the whole repo in context, the question shifts from "what should I fetch?" to "what should I show?". That's a UX question, not an infrastructure one.

The interesting thing about long-context models isn't that they can read more — it's that they finally make the retrieval problem optional. When a model can hold the whole repo in context, the question shifts from "what should I fetch?" to "what should I show?". That's a UX question, not an infrastructure one.

Branding is not the logo. It's the consistency of every micro-decision: button radius, copy voice, error tone, empty-state warmth. The logo just labels the bag. The branding is what's inside it.

"The best note-taking system is the one you already have open." — every productivity post ever, and also true

sequenceDiagram
  participant U as User
  participant M as Memory.Wiki
  participant A as AI
  U->>M: Save thought / URL / photo
  M-->>U: Permalink
  U->>A: "Use [URL] as my context"
  A-->>U: Answer grounded in the hub

What changed

Most personal-knowledge tools optimise for input. The friction is on the way in: capture this thought, file it, tag it, link it. But the value lives on the way OUT — when the system surfaces the right note at the right moment without you asking. Capture-heavy products are easier to build; output-heavy ones are what people actually pay for.