

Memory for the human, not just the model.
Cognitia turns fragmented personal data into a structured, portable memory graph — inspectable, governable, and usable by any AI.
Most AI assistants do not accumulate. Context stays locked inside walled gardens — and users never own what the system learns.
Every session starts from zero — you re-explain preferences, projects, and context repeatedly.
Memory lives inside one assistant and one ecosystem. Gmail memory does not follow you to Apple or Claude.
You cannot inspect the graph beneath personalization — only opaque toggles and scattered saved notes.
Your data generates value for platforms, not for you. No portability, no export, no governed sharing.
AI apps churn 2–3× faster than other software because products do not accumulate.
A structured graph compounds — entities, facts, and behavioral signals deepen with every connected source.
Cross-ecosystem ingestion: Google, Microsoft, Apple, finance, social, and messaging as first-class peers.
Memory Explorer makes every fact inspectable, editable, and deletable — trust through transparency.
MCP/API portability: your memory powers any AI client you authorize, not just our chat interface.
The more you use Cognitia, the more useful it becomes — because your memory lives here, under your control.
The system of record for personal AI context — entities, temporal facts, behavioral signals, multimodal identity (faces, voices, images), and cross-source provenance in one unified graph.
Official connectors, catalog apps via Desktop Companion or Cloud VM, chat imports, and ambient on-device capture — resolved into one inspectable graph.
Connectors
Gmail / Outlook / iCloud
Google Drive
OneDrive
Dropbox
Calendar
Plaid
Telegram
Catalog web apps
Messenger / Facebook
Discord
TikTok
LINE / WeChat (QR)
Desktop & devices
Cognitia Desktop (macOS)
Local Chrome web apps
Ambient capture
iPhone / iPad app
Cloud VM catalog login
Imports & chat history
WhatsApp export
Instagram / Messenger
TikTok / WeChat / LINE
Memory Explorer lets you inspect the graph — entities, relationships, temporal facts, and the multimodal identity layer (faces, voice, generated images). Drag the time machine to replay your memory as of any date. The assistant and external MCP clients read from this same layer.
Entity Types
Person
Organization
Place
Product
Topic
Event
Time machine
Now
Jan 2023
Jun 2025
AI Assistant
Live
Prepare me for my meeting with David Kim
What's the Q1 launch status?
Who works on AI strategy?
Connect sources once. The graph compounds. Use it anywhere.
Step 1
Link email, calendar, files, finance, social, messaging, and local devices. Cognitia ingests across Google, Microsoft, Apple, and more — no single-ecosystem lock-in.
Step 2
Entities, temporal facts, and behavioral signals are extracted and structured in MAGMA — including multimodal memory, so faces, voices, and images attach to the people they belong to. Supersession keeps the graph current as your life changes.
Step 3
Inspect in Memory Explorer, query via the built-in assistant, or connect external AI tools through MCP/API. Your memory travels with you.
Step 1
Link email, calendar, files, finance, social, messaging, and local devices. Cognitia ingests across Google, Microsoft, Apple, and more — no single-ecosystem lock-in.
Step 2
Entities, temporal facts, and behavioral signals are extracted and structured in MAGMA — including multimodal memory, so faces, voices, and images attach to the people they belong to. Supersession keeps the graph current as your life changes.
Step 3
Inspect in Memory Explorer, query via the built-in assistant, or connect external AI tools through MCP/API. Your memory travels with you.
Built-in chat and Memory Explorer help you interact with and inspect your memory. They are not the product — the graph is.
Browse your knowledge graph visually. See entities, fact timelines, behavioral signals, multimodal identity, and source provenance — and travel back to your memory as of any date. Edit, delete, or export any layer.
Learn moreOne way to query your graph — grounded answers with memory citations. Not built to win on chat polish; built so your context is always in the loop.
Learn moreTake your memory to Claude Desktop, Cursor, or any MCP client — text and multimodal alike, so a person's photos and cloned voice travel with the graph. Scoped OAuth consent. Revoke access anytime.
Learn moreWorkflows and automations run on the same graph — they are ways to act on your memory, not the product itself. See how retrieval works
Your memory is the most valuable asset — not an opaque personalization toggle inside someone else's ecosystem
Your memory belongs to you — not OpenAI, not Google. Full portability, export, and deletion controls. When you delete, we remove data from active use and purge residual copies on our standard timeline.
Per-layer permissions for knowledge graph, behavioral signals, and temporal facts. Scoped MCP OAuth. Revoke any integration in one click.
Optionally list memory as Synthesized or Raw, Aggregate (research) or Individual (enrichment for brands you already use). Approve every Individual request, earn via Stripe. Your subscription can pay for itself.
“What do you know about me? Can I see it all?”
Mainstream AI
I have some memory of our past conversations, but I cannot show you a structured view. Memory is managed by the platform — not exportable or inspectable.
Here is your knowledge graph: entities, temporal facts, relationships, and behavioral signals. Browse visually, inspect every connection, delete any fact. Everything belongs to you.
Published agent-memory results that inform our three-tier architecture — not a Cognitia leaderboard score. See methodology.
Token Efficiency
0% fewerOn LongMemEval, a temporal knowledge-graph memory (Zep / Graphiti) injects ~1.6k tokens per query instead of ~115k of raw conversation history.
Zep, arXiv:2501.13956Response Speed
0% fasterSame Zep LongMemEval table, GPT-4o: 2.58s median with graph memory versus 28.9s stuffing the full context. Retrieval stays off the full-history path.
Zep, arXiv:2501.13956Retrieval Precision
0%Graph retrieval for personal memory (TOBUGraph) reports 93.75% precision and 91.96% recall, versus 89.23% / 82.26% for the strongest RAG baseline in that study.
TOBUGraph, arXiv:2412.05447Cost Break-Even
~0 turnsFact-based memory vs. re-sending a ~100k-token history: the memory path becomes cheaper after about ten interaction turns, then stays nearly flat.
arXiv:2603.04814Connect your sources, inspect your graph in Memory Explorer, and query your memory from chat or any MCP client.
Get startedBuild on the memory layer via MCP and API — not another chat wrapper. Scoped OAuth and revocable tokens.
Developer docsAccess consented memory layers with explicit user approval. Users own the substrate — you get governed insights.
MarketplaceOne memory asset. Subscriptions fund graph storage, retrieval, and MCP usage.
$0
For trying owned memory on your own sources.
200 chat credits per month
Connect 5 or more sources for 1,000 extra credits each month
Daily sync (90-day first ingest)
Cross-platform and cross-session memory
File upload, custom integrations, and MCP
Starting from $8/mo
For daily work with Full Sync and longer agent runs.
2,000 chat credits per month
Full Sync: 365-day lookback, 1,000 threads
Premium models and longer agent runs
Semantic search for storage
Everything in Free
Starting from $42/mo
More headroom — image generation and extra credits.
20,000 chat credits per month
Same Full Sync envelope as Basic
Image generation
Buy extra credits at 500 per $1 (never expire)
Priority support
Everything in Basic
Starting from $167/mo
Full-history sync without processing caps.
100,000 chat credits per month
Ungated Full Sync with reruns
5 concurrent browser sessions
No extra chat or agent-run timeout caps
Everything in Premium
Connect your sources, inspect your graph, and use your memory across any AI — on your terms.