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Semiotronika

Building tools for knowledge base organization.


What I'm working on

NOUZ — an MCP server for Obsidian that turns a vault into a structured knowledge graph.

The core idea: instead of organizing notes into folders manually, the system classifies them by semantic content and builds a directed acyclic graph (DAG) from the relationships you define. Classification uses cosine similarity against user-defined semantic cores — knowledge domains described as dense embedding texts.

Two things happen simultaneously:

Top-down — intent. You define a sign at the top level; it propagates down through structural (hierarchy) links. The human sets the frame.

Bottom-up — reality. Atomic notes (quants) get classified by content embeddings. Their domain distribution rolls up as core_mix. When intent diverges from reality — the system surfaces core_drift. Not an error. A signal.

Semantic bridges are proposed automatically when two notes from different domains have unexpectedly close embeddings. The system finds connections you didn't notice.

Three modes — from pure graph structure (no embeddings needed) to full semantic classification with strict hierarchy validation.


Principles

  • Structure emerges from content, not from folder names
  • Human sets intent, algorithm checks reality
  • A note can belong to multiple domains — sign is a spectrum
  • Suggestions are proposals. Human decides.

Projects

NOUZ-MCP MCP server for Obsidian. Three modes: pure graph, full semantics, strict hierarchy

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