Privacy-preserving memory for humans and AI

Your memory layer.

Your AI's context.

You can't see your own patterns. Your AI can't remember yesterday. ideAI is the encrypted memory layer that serves both — a sovereign context store that you browse as a semantic atlas, and your AI tools access via MCP. One data layer. Zero trust required.

The Problem

Two blind spots.
One solution.

You can't see your own cognitive patterns — journaling and reflection couple measurement and analysis in the same observer. Your AI tools can't remember past conversations — every session starts from zero. Both problems stem from the same gap: no persistent, private, structured memory layer.

ideAI closes both gaps at once. Import your digital history, compress it into a navigable atlas you can browse, and give any AI tool secure read access via MCP — all encrypted on-device, all under your control.

The Atlas

A navigable topology
of who you are.

Not a database, a timeline, or a dashboard. A landscape where every peak, valley, and ridge corresponds to a real pattern in your data — derivable from source material, traversable at any level of resolution.

Nearly empty on day one. Increasingly dense over months and years. Its value compounds: the more data ingested, the more the invariant structure of your measurement apparatus becomes distinguishable from noise.

Semantic collision graphsMulti-LOD zoomDrill-down to sourceWeek/Month/Year viewsCustom axes

Macroscopes

Different lenses. Same Atlas.

A macroscope is analytical tooling capable of representing relationships across large datasets along selected heuristics. Beyond simple charts — creative data representations with drill-down capabilities that surface insights at varying levels of detail.

Demo Data

October 23, 2025

3 sources · 47 measurements

0.72 sentiment

Day Synthesis

A day split between deep technical work and personal reflection. Morning spent debugging a WebSocket issue in your side project, followed by a shift to career planning in your afternoon notes. Twitter engagement focused on AI infrastructure discourse. Consistent theme of balancing builder identity with broader life direction.

Twitter23

AI infra discourse, WebSocket debugging thread

Notes12

Career reflection, project architecture notes

Claude12

Debugging session, code review conversation

Tags

websocketcareerai-infrastructuredebuggingarchitecturereflectionside-project

Compressed from 47 measurements across 3 platforms

Exgestion

Your AI finally
has a memory.

Chat with an on-device AI that has full context of everything you've written — across months and years. It surfaces temporal patterns, semantic collisions, and recurring themes. Not advice. Structure.

Or connect Claude, ChatGPT, or Cursor via DataShard — and every conversation they have starts with your full history, not a blank slate. Same encrypted Atlas, accessible to any AI you authorize.

Temporal pattern recognitionSemantic axis mappingCollision detectionSource citations

Sovereignty

One data layer. You control access.

You browse your Atlas for patterns. Claude searches it for context. ChatGPT reads it to understand your preferences. Cursor accesses it to write code that fits your style. All through MCP, all encrypted, all with your explicit permission. Multiple AI systems, one sovereign memory layer — and you are the membrane.

Your Journal

3,847 notes

1,203 day summaries

52 weekly compressions

DataShard

19 integration tools

search_notesget_noteatlas_searchatlas_get_daycreate_ai_memorysearch_ai_memoriesatlas_temporal_queryget_compression...+11 more
Any AI
C
Claude Desktop
G
ChatGPT
>
Cursor / VS Code
Without DataShard
>

“Help me plan my week”

>

“Sure! What are your typical priorities and schedule?”

>

“Well, on Mondays I usually...”

[10 minutes of context-setting]

With DataShard
>

“Help me plan my week”

>

“Based on your journal: you're most productive on Tuesday mornings, you've been focused on the career transition project, and last week you noted wanting more time for creative writing. Here's a plan that accounts for all of that...”

The Thesis

Self-recognition before external systems model you.

An observer who understands their own biases, gravity wells, and systematic distortions becomes significantly harder to manipulate.

Not immune — but resistant.

To map the measurement apparatus is to learn to move.
To know thyself is to prevent manipulation before it occurs.

zero-knowledge

processing

observer

sovereignty

exgestion

neutrality

Pricing

Start free. Upgrade when you're convinced.

Observer

Free

See yourself clearly.

  • Personal journal
  • On-device AI (Apple FM + Qwen)
  • 30-day Atlas window
  • 2 preset semantic axes
  • Day summaries & sentiment
  • Tag extraction
Get started free
Most Popular

Cartographer

$4.99/month

Your memory, accessible to any AI.

  • Everything in Observer
  • DataShard AI integration
  • Multi-source import
  • Unlimited Atlas history
  • Custom semantic axes
  • All on-device models
  • AI Memory Notebook
  • Atlas export
Start 7-day free trial

Max

$24.99/month

Your complete AI memory layer.

  • Everything in Cartographer
  • Cloud AI (Claude via Bedrock)
  • Memory Chat
  • 1.3M daily AI credits
  • Secure cloud inference
Start 7-day free trial

All plans include on-device processing. Your data never leaves your device unless you explicitly use cloud features.

Give yourself a memory.

Give your AI one too.

Download on the App Store

iOS and macOS. No account required.