MEMOISEThe memory layer for truly personal AI.
BEING BUILT BY VYANKATESH KULKARNI

The memory layer for truly personal AI.

Today’s AI resets too often. Conversations disappear into separate threads, context gets fragmented, and models struggle to maintain a persistent understanding of the people they work with.

Memoise is being built around a simple idea: personal context becomes exponentially more useful when the things you’ve shared can stay connected over time.

Interactive Playground ↓See how it connects ↓
01 — AN OPEN EXPLORATIONMEMOISE / 2026
A / 01

AI knows a lot.
It doesn’t know you.

THE GAP IS CONTEXT
01Why Memoise

The problem isn’t simply that AI forgets.

AI remembers fragments. People have context.

Current AI interactions are often fragmented across conversations, sessions, documents, applications, and disconnected pieces of context.

The deeper problem is that information about a person has relationships. A preference may relate to a past experience. A decision may relate to a goal. A project may relate to a person’s knowledge.

02The idea

Facts are only the surface.

FIG. 02WHAT MATTERS, CONNECTED
PERSONYOU
shapes →guides →informs →influences →
CONCEPTUAL ONLYMEMOISE / EXPLORATION

Memory is more than a collection of facts.

Memoise explores a way for the things that matter to a person to stay connected — so a goal can be informed by experience, and a preference can make future help feel more like your own.

YOUpreparing_for A career change
YOUworking_toward A learning goal
YOUprefers Focused mornings
YOUshaped_by Past experience
YOUdecided Make a change
03The important question
THE USUAL QUESTION

"Which information is relevant to this query?"

MEMOISE'S DIRECTION

"What context about this person is relevant to this moment?"

The goal isn't just to find a relevant answer. It is to help AI understand the person, the moment, and what came before it.

04The possibility

A living context, not a bigger archive.

Imagine an AI that remembers over time.

The things that matter to a person don't sit still. They gather meaning, influence each other, and change.

IMAGINE AN AI THAT REMEMBERS...01 / 05

What you know

The ideas, disciplines, and mental models that already have a place in your world.

05A person's journey

Context becomes more useful when it has somewhere to go.

A conversation today can matter months from now.

You tell your AI you're preparing for a major career change. Later, it remembers that goal when helping you plan your learning.

01

A conversation

You mention you’re preparing for a major career change.

02

A preference

You explain how you prefer to learn: slowly, with time to think.

03

A goal

You decide what you want to work toward next.

04

An experience

Something you tried changes how you see the problem.

05

A decision

The pieces come together into a choice that feels like yours.

06

New context

A more personal AI experience becomes possible over time.

06Personalization

The same question. More of you in the answer.

Useful feels different when it remembers why.

CONCEPTUAL EXAMPLE

A question can become more useful when the person behind it comes into view.

WITHOUT CONTEXT

“How should I plan my week?”

Here are a few ways to structure your week.

GENERIC STARTING POINT
WITH MORE OF YOU IN IT

“How should I plan my week?”

You’re preparing for a career change and prefer focused mornings. Start with the learning block you can actually keep.

CONTEXT CARRIED FORWARD
07Live Playground

See the memory engine reason in real time.

Watch context transform an answer.

Enter any situation. See how Memoise extracts a personal graph — and how that graph grounds AI reasoning into something genuinely useful.

MEMOISE ENGINE SIMULATOR (LIVE PREVIEW)

See how natural thoughts become structured graph context and grounded personal answers.

RAW USER OBSERVATION

“I am preparing for a major career transition into AI engineering. I learn best with slow, hands-on architectural examples and strictly protect my morning focus blocks.”

WORKING_TOWARDPROTECTED_BYSTUDIED_VIAYOUGOALCareer TransitionCONCAI EngineeringPREFMorning Focus BlocksPREFHands-on Learning
TAP ANY NODE TO INSPECT ATTRIBUTES & PROVENANCE
← Tap nodes to view provenance & deterministic resolution
REASONING WITH ACCUMULATED CONTEXT
USER PROMPT LATER

“How should I schedule my study week?”

STANDARD AI (NO PERSISTENT CONTEXT)GENERIC

Here is a standard 40-hour study template. Study math on Monday, Python on Tuesday, read papers on Wednesday, and do exercises on weekends.

MEMOISE GROUNDED MEMORYCONNECTED

You are actively pivoting into AI engineering and protect your morning focus. Schedule 90-minute hands-on build sessions before 11 AM Monday to Thursday, reserving theory for low-energy afternoons.

RETRIEVED 1-2 HOPS: Career Transition, AI Engineering, Morning Focus BlocksZERO AMNESIA
08Long-term vision

From assistants that answer questions to systems that understand context.

We're building toward AI that becomes increasingly useful because it remembers more of the individual it works with.

Memoise explores the foundations for that idea. The goal is not to make AI sound more personal. It is to help personal context stay meaningful as life changes over time.

We believe context is the missing layer.
09The builder

Built by Vyankatesh Kulkarni.

Memoise is being built by around a simple belief: AI should become more useful as it understands more of the person it works with.

The project is focused on making that idea feel clear, useful, and human.

View the project ↗Let's talk ↗
MEMOISE / 2026
BUILT BY VYANKATESH KULKARNI