The Personal Context Layer

Own Your Context.

A portable source of truth for your memories, goals, relationships, preferences, and identity — in the AI era.

The Problem

Every AI knows a different version of you.

Assistant A

Knows your work. Forgets the rest.

Assistant B

Knows your health. Nothing else.

Assistant C

Meets you cold, every morning.

Your context is scattered across a dozen products that don't talk — and none of it is yours to keep.

The Context Graph

A living model of you.

Not a folder of files. A graph — one self at the center, with the domains that make you you radiating out, joined by meaning and moving through time.

You
Context node
Live / focused

Hover a domain to see what Eversame holds there — click it to explore.

What it holds

One self, six domains.

01
Identity

Your values, traits, and the through-line of who you are.

02
Memory

What happened, and what actually mattered.

03
Goals

Where you're going, now and next.

04
Relationships

The people who matter, and how.

05
Preferences

How you like things done.

06
History

How you've changed over time.

How it works

From scattered to a single source of truth.

01
Bring it in

Connect an app — or run the Context Audit: copy one prompt into any AI you already use and paste its answer back. That's all it takes to start.

02
We reconcile it

One's working off last quarter's strategy; the new one has none of it. One's still optimizing for a goal you gave up months ago. One writes in your voice; the next makes you sound like a stranger. One knows your daughter; another has never heard of her. Eversame reconciles it into one accurate you — your single source of truth.

03
Carry it anywhere

Sync that context into any AI, so each one starts already knowing the real you — no re-explaining, ever.

The Context Audit

See what your AI actually knows about you — in 60 seconds.

I want a complete export of everything you know or remember about me — from your memory, any saved instructions, and our past conversations. This is my data and I'm keeping my own copy.

Organize your answer in markdown under exactly these seven headings. Be specific: real details, names, dates, and places where you have them. Where you don't know something, write "unknown." Don't guess or pad — mark anything uncertain with (low confidence).

## 1. Identity
Who I am: name, where I live, work and profession, roles, values, and personality traits you've observed.

## 2. Memory
Significant things from my life you know about: events, projects, decisions, milestones, problems I've worked through with you — including anything about my health, money, or day-to-day life I've shared.

## 3. Goals
What I'm working toward: short-term and long-term, personal and professional, with deadlines where known.

## 4. Relationships
The people (and pets) who matter to me: family, friends, colleagues, clients — names and how they relate to me.

## 5. Preferences
How I like things done: communication style, formats, tools, tastes, routines — and anything I've told you to always or never do.

## 6. History
How I've changed over time: jobs, locations, priorities, opinions, or habits that have shifted.

## 7. Gaps
The most important things about me you don't know.

Be plain and complete.
Paste it into your assistant, then save the answer — it becomes the seed of your Eversame.

Run it in every AI you use, and keep the answers. When early access opens, you'll drop them into Eversame and it reconciles them into the one record that's actually yours. Join the waitlist to be first in. As open standards like MCP spread, more of this happens automatically.

You own it. Kept in a vault only you control.
Encrypted end-to-end. Built so even we can't read it.
You set the terms. Decide what each AI sees — and revoke anytime.
How it works in detail — and how we keep it yours →
What we believe

Four convictions.

Context>Models

The model is rented and replaceable. Your context is the durable asset — and it should belong to you.

Ownership>Lock-in

Your identity shouldn't be a hostage to anyone's platform. Portable by default, exportable always.

Continuity>Fragmentation

You are one person, not twelve disconnected profiles. A single thread of you, through every tool.

Understanding>Memory

Storing facts isn't knowing someone. We model meaning and change over time — not just a log.

The Future

Connect once. Never start over.

01Open a brand-new AI.
02Connect your Eversame.
03It already knows what matters to you, who matters to you, and where you're going.

Not because it owns your data. Because you do.

“The models keep getting smarter. But intelligence without context is a stranger with a high IQ. We're building the you that travels with you.”
Stephen Dempsey-ChiamFounder, Eversame
Be early

Own your context.

We're building the foundation for personal context in the AI era. Join the waitlist for early access.

No spam. Just early access and the occasional note as we build.

You're on the list.

Thank you. We'll be in touch as we open early access.

Questions

Good questions.

A personal context layer: one portable, user-owned source of truth for who you are — your memories, goals, relationships, preferences, and identity — that can power any AI you choose, instead of each one knowing a different fragment of you.

You do — completely. Eversame is built to be portable and exportable by default, independent of any single AI provider. The point of the product is ownership; lock-in is the thing we're against.

Built-in memory lives inside one product and stays there. Eversame sits outside any single model — a graph that models meaning and change over time, that you carry from tool to tool. Understanding, not just a log of facts.

Two ways. Where an AI offers a direct connection, Eversame links to it. Where it doesn't, you run the Context Audit — copy one prompt into that assistant and paste its answer back. Eversame reconciles it into your single source of truth, fixing the places where different AIs disagree about you. As open standards like MCP spread, more of this becomes automatic.

We're early and building deliberately. Join the waitlist and we'll reach out as we open early access — and we'll occasionally share what we're working on.