The Memory & Visualization Pod (Triad Architecture)

Our psychometric pipeline relies on a second triad that remembers, compresses and visualises everything the Core Reasoning Pod produces:

• Mnemos — Archivist
  Stores raw responses, item metadata and audit trails inside a two-tier Collaborative-Memory Graph (private shards + shared canopy).

• Chromia — Visual Explainer
  Translates statistical patterns into colour-coded “Lyre diagrams,” letting non-experts spot gaps, bias or drift at a glance.

• Logosophus — Semantic Weaver
  Writes 200-token digests that map data back onto theory, ensuring each chart tells a coherent story.

Why dedicate a pod to memory and visuals?

• Traceable evidence
  Regulatory guidance (e.g., EEOC, EU AI Act drafts) now demands provenance for every automated decision. Mnemos’ graph keeps a tamper-proof link from final score to original response and source code.
• Cognitive compression
  Raw chat logs run to thousands of tokens. The Compress-Justify loop (Chromia hue-maps salience, Logosophus summarises, Mnemos archives the survivor) cuts storage 7-to-1 while preserving >90 % recall—crucial for long-term validation studies.
• Human-friendly insight
  Pie-charts and factor tables rarely persuade decision-makers. Chromia’s diagrams embed colour metaphors (indigo = structural fit, crimson = uncertainty) so stakeholders can grasp risk in seconds.
• Cross-pod glue
  Every other pod queries Mnemos for context and embeds Chromia visuals in reports. Logosophus’ digests act as semantic “handshakes,” preventing misinterpretation when data moves between teams.

• In short: the Memory & Visualization Pod turns high-volume agent chatter into auditable knowledge and actionable pictures, providing the transparency HR and assessment professionals need to trust AI-driven psychometrics.