---
id: "AEB-013"
category: "memory_architecture"
confidence: 0.96
date: "2026-02-15"
source_file: "Agentic OS Blueprint Research Synthesis (Titan Memory Framework)"
---

# AEB-013

Google Titan Memory Framework introduces a surprise-based learning metric where the memory module learns what to store based on prediction error -- the surprise signal (difference between predicted and actual outcomes) determines what gets written to persistent long-term memory, replacing static rules with gradient-based memory updates

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