Cognitia AI
Memory for the human, not just the model.
The cross-ecosystem memory layer you own.
Cognitia turns fragmented personal data into a structured, portable memory graph — inspectable, governable, and usable by any AI.
Why memory matters
Most AI assistants do not accumulate. Context stays locked inside walled gardens — and users never own what the system learns.
Without a owned memory layer
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.
With Cognitia's memory graph
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 harder it is to replace — because your memory lives here, under your control.
Your personal memory graph
The system of record for personal AI context — entities, temporal facts, behavioral signals, and cross-source provenance in one unified graph.
Powered by MAGMA: a bi-temporal memory architecture where facts supersede on contradiction and every property traces back to its source.
Your Knowledge Graph
Entities, relationships, facts, behavioral signals, temporal events
Communications
Gmail
Outlook
iCloud
Messenger
Telegram
Files & Storage
Google Drive
OneDrive
Dropbox
Finance & Social
Plaid
Calendar
Local & Multimodal
Desktop
People
Audio
Visual
See your memory
Memory Explorer lets you inspect the graph — entities, relationships, and facts extracted from your connected sources. The assistant and MCP clients read from the same layer.
Entity Types
Person
Organization
Place
Product
Topic
Event
Loading knowledge graph...
AI Assistant
Live
Prepare me for my meeting with David Kim
What's the Q1 launch status?
Who works on AI strategy?
How your memory layer builds
Connect sources once. The graph compounds. Use it anywhere.
Step 1
Connect your sources
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
Your graph builds automatically
Entities, temporal facts, and behavioral signals are extracted and structured in MAGMA. Supersession keeps the graph current as your life changes.
Step 3
Use it anywhere
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
Connect your sources
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
Your graph builds automatically
Entities, temporal facts, and behavioral signals are extracted and structured in MAGMA. Supersession keeps the graph current as your life changes.
Step 3
Use it anywhere
Inspect in Memory Explorer, query via the built-in assistant, or connect external AI tools through MCP/API. Your memory travels with you.
Three ways to interact with your memory
Built-in chat and Memory Explorer help you interact with and inspect your memory. They are not the product — the graph is.
Memory Explorer
Browse your knowledge graph visually. See entities, fact timelines, behavioral signals, and source provenance. Edit, delete, or export any layer.
Learn moreBuilt-in assistant
One 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 moreMCP & API
Take your memory to Claude Desktop, Cursor, or any MCP client. 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 context retrieval works
Why Cognitia occupies a different layer
Big labs validate memory — each remains ecosystem-bound. We are not trying to out-chat them; we own the persistent user context they cannot naturally own.
Cross-ecosystem neutrality
ChatGPT, Gemini, Claude
Each incumbent is strongest inside its own ecosystem. Memory stays assistant-side and is not portable across vendors.
Cognitia
Cognitia ingests Google, Microsoft, Apple, Plaid, social, and messaging as first-class peers. Your graph is vendor-neutral by design.
Inspectable memory graph
ChatGPT Memory Sources
Shows which memories influenced a reply — not the underlying entity graph, fact ledger, or behavioral signal table.
Cognitia
Memory Explorer surfaces every primitive: entities, supersession chains, provenance, and per-modality deletion.
Portable via MCP/API
Mem0, Supermemory
Developer infrastructure with no consumer product or consenting user base to operate a governed memory asset.
Cognitia
80K+ users generating real memory. MCP/API with scoped OAuth — take your graph to Claude Desktop, Cursor, and beyond.
Not competing on: Best chat UI · Best base model · Enterprise search · Hardware lifelog
Own it. Control it. Optionally monetize it.
Your memory is a user-facing asset — not an opaque personalization toggle inside someone else's assistant.
You own it
Your memory belongs to you — not OpenAI, not Google. Full portability, permanent deletion, and export. When you delete, it is gone.
You control it
Per-layer permissions for knowledge graph, behavioral signals, and temporal facts. Scoped MCP OAuth. Revoke any integration in one click.
You can monetize it
Optionally list memory layers on the marketplace. Set your price, approve every request, earn via Stripe. Your subscription can pay for itself.
“What do you know about me? Can I see it all?”
Typical assistant
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.
Measurable User Outcomes
Benchmarked against full-context and RAG baselines across published research.
Token Efficiency
0% fewerStructured memory injects only ~1.6k relevant tokens per query instead of dumping 115k+ tokens of raw history into the context window.
Response Speed
~0% faster2.6s median response time versus 28.9s for full-context approaches — memory retrieval completes in under 200ms at P95.
Retrieval Precision
0%Graph-based memory achieves 92% recall and 88% precision, outperforming vector-only RAG at 85% recall and 75% precision.
Cost Break-Even
~0 turnsMemory systems become cheaper than full-context after roughly 10 interaction turns at 100k-token scale, then stay flat as conversations grow.
Built on Academic Foundations
Cognitia's architecture is informed by recent research in agent memory, temporal knowledge graphs, and multimodal personalization
Graphiti (Zep)
Zep AI — Chalef et al., arXiv:2501.13956
Key Finding
A temporally-aware knowledge graph engine for AI agents. Treats bi-temporal metadata (valid time vs. transaction time), canonical entity resolution, and fact supersession as first-class primitives, enabling continuous, non-batch memory updates.
Cognitia
Cognitia's temporal graph design — bi-temporal edges, canonical entity dedup, and fact supersession — shares direct lineage with Graphiti. We apply these primitives to a consumer product surface rather than developer infrastructure.
MAGMA
UT Dallas + University of Florida — Jiang et al., arXiv:2601.03236
Key Finding
Proposes a multi-graph agentic memory architecture organizing information across semantic, temporal, causal, and entity graphs, with a dual-stream pipeline: a fast path for event ingestion and a slow path for asynchronous consolidation.
Cognitia
Cognitia's memory layer is informed by MAGMA's multi-view framing. Our live implementation uses a smaller graph family (entity and temporal views) and a simpler ingestion plus daily-synthesis split rather than the full four-graph, dual-stream system MAGMA describes.
EgoMem
BAAI + ICT (CAS) + HIT + NTU — Yao et al., arXiv:2509.11914
Key Finding
A lifelong memory agent for full-duplex omnimodal models. Recognizes users across audio and visual streams and maintains personalized memory across long horizons for multimodal dialogue.
Cognitia
Cognitia's cross-modal identity layer — user-reviewable face, voice, and visual embeddings — shares design intent with EgoMem's emphasis on persistent multimodal user recognition, though our system operates on stored embeddings rather than a full-duplex omnimodal pipeline.
MemVerse
Shanghai AI Laboratory — Liu et al., arXiv:2512.03627
Key Finding
A multimodal memory framework and evaluation suite for lifelong learning agents. Reports that hybrid structured + vector approaches outperform either alone across long-horizon tasks.
Cognitia
Cognitia combines a structured knowledge graph (Supabase) with vector search (Pinecone) across text and multimodal content. The hybrid pattern MemVerse benchmarks as strongest is consistent with the direction our architecture independently converged on.
Not just another chatbot with memory
Cognitia draws on ideas from bi-temporal knowledge graphs (Graphiti), multi-view graph memory (MAGMA), cross-modal user recognition (EgoMem), and hybrid structured-plus-vector memory (MemVerse), applied to a consumer product surface with user-inspectable memory and a data sovereignty marketplace.
Consumer Sovereignty by Design
Every axis of Cognitia is governed by you — not by us, not by any third party. Ownership, control, and revenue are architectural guarantees, not marketing promises.
You Own It
Your data is yours. Period. Full data portability and permanent, irreversible deletion on demand. We architecturally cannot keep copies of what you have deleted.
You Control It
Per-layer permissions for every connected app. Per-tool OAuth consent with revocable tokens. Prioritized directives govern AI behavior. Device capability policies set allow, approve, or deny per tool.
You Profit From It
The first AI where consumers are the supply side. List your anonymized data layers on the marketplace. Set your minimum price per query. Get paid directly to your bank via Stripe Connect.
Built for you — and the AI ecosystem
For individuals
Connect your sources, inspect your graph in Memory Explorer, and query your memory from chat or any MCP client.
Get startedFor developers
Build on the memory layer via MCP and API — not another chat wrapper. Scoped OAuth and revocable tokens.
Developer docsFor businesses
Access consented memory layers with explicit user approval. Users own the substrate — you get governed insights.
MarketplaceSimple, transparent pricing
One memory asset. Subscriptions fund graph storage, retrieval, and MCP usage.
Start building your memory layer
Connect your sources, inspect your graph, and use your memory across any AI — on your terms.