Research

semantic-spacetime

Enables agents to model and analyze Semantic Spacetime graphs, including semantic distance, trajectories, drift, causality, convergence, and absorbing states.

★ 88 GitHub Stars
91 Quality score
18 Files

About this Skill

Model and analyze Semantic Spacetime (SST) graphs, distances, trajectories, drift, and model files. Do not use this skill for promise-theory vocabulary and fundamentals without SST modeling; use `promise-theory` for the substrate concepts.

Use cases

  • Model shared meaning between agents
  • Trace intent propagation and semantic trajectories
  • Measure distance between interpretations
  • Diagnose semantic drift and absorbing states
  • Analyze event ordering without a global clock

Features

  • Validates SST model files
  • Renders γ(3,4) graphs as text, Mermaid, or JSON
  • Calculates weighted semantic distance
  • Enumerates graph trajectories
  • Diffs snapshots to identify drift

Requirements

  • Python 3

Supported Agents

Not specified

Skill files

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