Glyphic Language — Interpreter Module The Semantic Engine of the Glyphic OS
The /glyphic-language/interpreter/ directory contains the runtime kernel of the Glyphic Language. Where the dictionary defines what glyphs mean, the interpreter defines how glyphs behave.
This module is responsible for: loading and indexing the dictionary validating glyphs and sequences enforcing strict syntax rules decoding glyph strings into structured meaning encoding structured meaning back into canonical glyph sequences providing a stable API for all agents, controllers, and LLMs
The interpreter is designed to be: deterministic reversible strict extensible LLM‑friendly controller‑safe
It is the semantic CPU of the Glyphic OS.
📁 File Overview
glyph_dictionary_loader.py Loads, merges, and indexes all dictionary files. This module: loads every JSON file in /dictionary/ validates schema consistency builds fast lookup tables: glyph → entries id → entry category → entries role → entries exposes a clean API for lookup and retrieval This is the foundation every other interpreter module depends on.
glyph_validator.py Ensures glyphs and sequences are valid before interpretation. This module performs: glyph existence checks role validation sequence validation core‑role enforcement (actor/action/object required) It prevents invalid or hallucinated glyphs from entering the syntax engine. This is the safety layer.
glyph_syntax.py Defines and enforces the formal grammar of the Glyphic Language. This is the grammar engine, responsible for: strict ordering rules required roles context ordering role precedence single‑actor/action/object enforcement deterministic syntax tree construction This module guarantees that the language is: unambiguous reversible predictable stable for LLM training It is the heart of the interpreter.
glyph_decoder.py Converts glyph sequences → structured meaning. This module: takes validated glyph sequences parses them using the strict syntax engine produces a deterministic semantic structure: actor action object modifiers context (place, time, emotion, sensory, social)
The output is a clean Python dictionary ready for: reasoning animation memory storage LLM translation agent behavior This is the meaning engine.
glyph_encoder.py Converts structured meaning → canonical glyph sequences. This module: takes a structured meaning dict maps each component to its glyph enforces strict ordering enforces context ordering produces a canonical, reversible glyph sequence This ensures: Code encode(decode(x)) == x for all valid sequences. This is the generation engine.
interpreter.py Unified public API for the entire Glyphic Language. This module exposes: python interpret(glyph_string) # glyphs → meaning encode(structured_dict) # meaning → glyphs validate(glyph_string) # syntax + glyph validation explain(glyph_string) # human-readable explanation It orchestrates: dictionary loading validation syntax parsing decoding encoding This is the official interface used by: agents controllers LLMs external tools soulfiles™️
init.py Makes the interpreter importable as a module.
Exports: python interpret encode validate explain This allows: python from glyphic_language.interpreter import interpret
🧠 Interpreter Design Principles
The interpreter is built on six core principles:
Determinism Same input → same output, always.
Reversibility Every valid sequence can be encoded and decoded without loss.
Strict Syntax The grammar is enforced at runtime to prevent drift.
Dictionary‑Driven All meaning comes from the dictionary, not heuristics.
Extensibility New glyphs or categories can be added without breaking the system.
LLM‑Friendly The grammar is simple, predictable, and easy to learn.
The interpreter is the semantic kernel that sits between: dictionary (static meaning) LLMs (probabilistic reasoning) controllers (deterministic execution) soulfile™️ (persistent identity from an agent.soul file) agents (behavioral systems)
It ensures that: glyphs always mean the same thing syntax is always correct scenes are always interpretable LLMs cannot hallucinate new glyphs controllers can trust the structure
This is the core of agent cognition.