What exists now
Persistent Cell identities, source-ordered SentenceCells, compact role connections, deterministic re-reading, reconstructed discourse context and connected multi-SentenceCell retrieval.
Runningtime Organic Network
REN is the operating model for Cell creation, routing and activation
The current V1.0 implementation validates the storage and retrieval foundation on which the wider REN model will develop.
Updated: July 2026
What REN will add
Large-scale Cell population, sentence-driven meaning selection, semantic field routing, activation across category levels and transparent logic paths supported by source evidence.
REN principles
- Cells remain the nodes. The system does not replace Cell identity with separate category objects.
- Sentences teach relationships. SentenceCells establish which Cells were connected and what they meant in context.
- Fields extend meaning. Key, class, subcategory, category, subdomain and domain provide broader routes after sentence learning.
- Processing is temporary. The answer core activates relevant paths without duplicating permanent knowledge.
- Evidence remains visible. Answers must be traceable to the SentenceCells and semantic routes that support them.
The planned public demo will run a prebuilt read-only population of several thousand Cells. Visitor questions may activate existing logic, but public use will not create or modify Cells.