Breaking News Patent Pending The world's first memory standard for AI Memory without meaning is just storage Five dimensions. One transformation. Not another AI company Breaking News Patent Pending The world's first memory standard for AI Memory without meaning is just storage Five dimensions. One transformation. Not another AI company Breaking News Patent Pending The world's first memory standard for AI Memory without meaning is just storage Five dimensions. One transformation. Not another AI company Breaking News Patent Pending The world's first memory standard for AI Memory without meaning is just storage Five dimensions. One transformation. Not another AI company

THERE IS
NO STANDARD
forAI MEMORY
TODAY.

The Standard
Memory Standard
The Engine
Memory Algorithm
The Access
One API Call
Our core 3 components create our patent-pending memory infrastructure that reduce tokens by 95% while preserving what you meant, not just what you said.
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Memory without meaning is just storage. $1T+ spent on data centers. $0 on intelligent memory. Setting the new standard for AI memory Meaning > Context Patent Pending Finally, context that actually means something. Memory without meaning is just storage. $1T+ spent on data centers. $0 on intelligent memory. Setting the new standard for AI memory Meaning > Context Patent Pending Finally, context that actually means something. Memory without meaning is just storage. $1T+ spent on data centers. $0 on intelligent memory. Setting the new standard for AI memory Meaning > Context Patent Pending Finally, context that actually means something.
Breaking · The Memory Standard

Somewhere Inc. releases the world's first memory standard for AI.

We defined the format. We built the algorithm. We patented the combination. The only memory API built on a patented (and private) memory algorithm.

There is no standard for memory today. Without one, it doesn't matter what you remember. Context fades, connections break, and meaning is lost. Somewhere has defined the format, built the algorithm, and patented the combination, creating the first framework that gives AI memory structure, ownership, and provenance.

The industry keeps saying "context" when they mean "more of the same bad data." Bigger windows don't fix broken input. Every major platform has expanded its context window this year. Bigger numbers, same broken data. They treat context like a volume knob. Turn it up, and the AI gets smarter. But that's not how memory works.

Context without meaning is just storage. Knowledge graphs map what's related. Semantic search finds what's similar. But neither understands what was meant. MI™ does.

MI can connect the dots. Both the dots you knew about, and the ones you never saw. Raw text, vector chunks, session logs. None of it is structured. None of it carries provenance. None of it is owned by the user. More context just means more noise at higher resolution.

Memory requires a standard. Without one, you're just remembering louder.

See the difference

What did we decide about the pricing model last quarter?
Searching across 847 context entries...
I found 12 related conversations, but I can't determine which decision was final or who approved it.
↑ This is memory without meaning. ↑
Same question, with MemoryIntelligence™
Decision: Tiered usage model
Approved by Sarah Chen · Oct 14, 2025
Source: Board meeting transcript · UMO #4892
Provenance: Cryptographically verified

The standard is built on three layers.

The Architecture
Access
Memory API
One API call
Engine
Memory Algorithm
Patent-pending · Transforms → UMO
Foundation
Memory Standard
The format that gives memory meaning

The Memory Standard defines the shape. Five dimensions: capture, storage, ownership, provenance, retrieval. Every memory that passes through the algorithm is structured across all five. Not steps. Not a pipeline. Five facets of the same object.

Founder Notes

Why I built this

The industry is having a marketing-level conversation about AI memory. The real problems, ownership, provenance, structure, are being ignored.

Read the full note →

The Thesis

Everyone is selling you more context. More tokens. More data. But data without meaning is just storage. It doesn't know when. It doesn't know who. It doesn't know why. Memory has meaning. It carries structure, ownership, and provenance. So we built a standard for it. The world's first. Patent-pending. Your data stays local. Your data stays yours.

The Products

Three Parts. One System.

A patent-pending standard defines the shape. A patent-pending algorithm processes it. One API delivers it.

Memory Standard

The foundation

The world's first patent-pending memory standard. Five dimensions define how every memory is captured, stored, owned, traced, and retrieved.

Memory Algorithm

Patent-pending

Raw input goes in, structured memory objects come out. Our algorithm processes any data into the five-dimensional standard automatically.

Memory API

One call. Five dimensions.

One API call is all it takes. Your app gets structured, private, standards-compliant memory. No infrastructure to manage.


The Five Dimensions

The Five Dimensions

Capture
auto vs. manual
Storage
local vs. cloud
Ownership
who controls
Provenance
receipts, when/how
Retrieval
semantic, cross-app

Click a dimension to learn more.

Capture

Your AI remembers what happens automatically. No copy-pasting, no saving things manually. It just works in the background.

Storage

Your data stays on your device by default. Encrypted, no cloud required. You choose where it lives.

Ownership

You own your memories. Not the app, not the AI company. You can move them, delete them, or take them wherever you go.

Provenance

Every memory has a receipt. When it was created, where it came from, how it was used. A paper trail you can actually trust.

Retrieval

Search by meaning, not keywords. Your AI finds what you need across every app and conversation.