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Technical White Paper

How BlueGecko Remembers: A Biological Approach to AI Memory

Technical white paper · March 2026

Current AI assistants treat memory as an append-only log — a flat list of facts that grows without limit and has no notion of relevance, decay, or consolidation. BlueGecko takes a different approach, modeling memory after the biological processes that govern human recall.

Every memory entry carries a vitality score computed via an Ebbinghaus-inspired forgetting curve: vitality decays exponentially with time but is boosted by access frequency and inherent importance. A nightly consolidation process — running at 2 AM while the user sleeps — applies decay, promotes high-value memories, merges duplicates, and prunes entries that have faded below a viability threshold.

The result is an AI that doesn't just remember — it remembers the way you do. Important things stay. Trivial things fade. The relationship deepens over time, naturally.

Contents

  1. 01The Problem with Flat Memory
  2. 02The Ebbinghaus Forgetting Curve — Applied to AI
  3. 03Memory Tiers: Core, Active, Consolidated, Faded
  4. 04The Vitality Formula
  5. 05Nightly Consolidation: How It Works
  6. 06Access Tracking and the Recall Boost
  7. 07Privacy by Design: On-Device Only
  8. 08Results and Observations
  9. 09Future Work: Company-Wide Memory (The Brain)

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