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AGEIUM PRODUCT · Beta

MEMORIA

Vector-Free AI Long-Term Memory Engine

AI long-term memory engine using 5 Korean semantic networks and causal centrality graphs — no embeddings needed. v23 architecture outperforms commercial embedding models.

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MEMORIAVector-Free AI Long-Term Memory Engine
  • Vector-Free Semantic Search
  • Causal Centrality Recall
  • 3-Layer Memory Architecture

A CLOSER LOOK

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MEMORIAScreen mockup · illustrative workflow
WORKSPACE

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STEP 01 / 03

Context to retain

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Vector-Free Semantic SearchConfiguration
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DESIGNED AROUND YOUR WORK

Capabilities for your work

01

Vector-Free Semantic Search

Search by meaning using BM25 + 5 Korean semantic network graph distances — no embeddings

02

Causal Centrality Recall

410K causal edges rank memory recall by causal importance — remembers what matters most

03

3-Layer Memory Architecture

Long-term / 30-day short-term / 7-day working memory with automatic tier migration

04

Sub-15ms Recall Speed

99th-percentile recall under 15ms — optimized for real-time AI conversations

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