Category
Episodic Memory System Substrate
Architecture
Hypervisor-level · Local-first · Zero-UI
Contact
01 · Dissociative Amnesia
No belief system. No "why."
Not your decisions from yesterday. Not why you made them. Not your Gmail history, your Netflix habits, your criteria, your intentions, your roles. Not who you want to become.
02 · Lacks Real Depth
You are never one-dimensional.
You are a founder, a parent, a partner, a learner — simultaneously. Agents treat you as a flat character. None of them can do otherwise. There is no substrate to tell them who you are.
03 · No Primitive
$500M+ raised. Zero local substrates built. The quadrant is empty.
Every agent assumes someone else built the memory layer. Nobody did. That is what Geometrical builds.
The missing primitive
We operate at the intersection of technology, privacy, and radical personalization.
S-01
Personal Memory Substrate
The episodic memory of the individual. Captures intention, decisions, criteria — not facts. Operates across all roles. Zero-UI First.
S-02
Institutional Memory Substrate
The 9-dimensional model applied to collective entities. Organizational knowledge that survives team changes, restructuring, and time.
S-03
Operational Memory Substrate
Memory substrate for autonomous agents. Agents read — log write — the relevant dimensions of a user's identity graph within the Nexus permission boundary.
S-04
Permission Protocol
Governs what memory is shared between surfaces. Federated graph with user-controlled perimeter definitions. Open source.
AI-Native Architecture
Model-agnostic · OS-agnostic · Hardware-agnostic · Zero cloud dependency
AI-Native Device Architecture Ready
Architecture, not philosophy
Cloud memory means every agent interaction transits an external server. At scale, that is a compliance liability in every regulated industry — GDPR, HIPAA, CCPA, EU AI Act. Not a risk to manage. A structural blocker.
Local-first is not a privacy statement. It is the only architecture that passes enterprise procurement without a legal waiver. The data never leaves the device — because it physically cannot.
The cloud-first memory players are building into that wall. Geometrical is not.
Why retrieval is not enough
Retrieval systems find facts similar to the query. Self captures the structure beneath facts: intention, decision criteria, causal chains, role context. These are different problems.
38%
vs 14.4% recall@5
Keep It InMind baseline
Keep It InMind benchmark: Li et al., 2024. Self empirical results: single-user PoC, Aug 2026.
Personal Episodic Identity Substrate (PEIS): A 9-Dimensional Architecture for Human Memory in the Agent Economy
cs.AI · Geometrical Research · 2026 · zenodo.org/records/21923601The AIX Protocol: A Machine-Native Format for Contextual Identity in Multi-Agent Systems
cs.AI · Geometrical Research · 2026 · zenodo.org/records/21923809The AIX Protocol: A Machine-Native Format for Contextual Identity in Multi-Agent Systems
cs.AI · Geometrical Research · 2026P202631047 — Privacy-native memory encoding for LLM inference pipelines. Two original inventions.
OEPM · Priority 19 July 2026 · PCT/EPO deadline July 2027Coverage, interviews, and media appearances — updates as published.
Press → hello@thegeometrical.comIP technical detail paper — privacy architecture deep dive, following PCT filing.
cs.CR + cs.AI · Geometrical Research · 2027We are building with a small number of partners. If you are working on the agent stack, investing in infrastructure, or want to pilot Soma — reach out.
hello@thegeometrical.com