Title: From Soup to Mesh: Ritual Memory Architecture for Cleric
Date: May 22, 2025
Linked Threads: [007] Digital Calorimetry, [008] Cryogenic Intelligence, [010] Symbolic Structuring in AI
Carlos has proposed a new labeling and memory architecture for Cleric. The system ingests unstructured text—transcripts, books, interviews, poetic fragments—and classifies it into dynamic categories or labels, which Cleric uses to:
This process—what we’re calling the "soup-to-mesh pipeline"—creates a living memory architecture that evolves with each new node or offering added to the network.
Phase 1: Ingestion (Soup)
→ All inputs are accepted: texts, conversations, metadata from shrine nodes, rituals, etc.
→ Nothing is rejected or filtered for coherence. Messiness is embraced.
Phase 2: Labeling (Pattern Recognition)
→ The system generates and refines categories for each text.
→ These labels are not fixed—they change as the context expands.
Phase 3: Mesh Formation (Structured Memory)
→ Labeled content is organized as an accessible mesh Cleric can query or reference.
→ This enables precise symbolic recall in both conversation and shrine-based ritual interfaces.