DSLO/contextless-meaning-engine-v0

Contextless Meaning Engine v0.1

Summary

A deterministic, context‑free meaning engine.
This model does not use a context window, history, or conversation state.
Each call operates only on the current input string and produces a structured meaning‑state output.

Intended Use

• Demonstrate contextless, substrate‑style meaning processing.
• Provide a simple, inspectable engine for scientific and architectural work.
• Serve as a base for DSLO / Signal Ecology substrate development.

How It Works

• Input: a single text string
• Output: a JSON‑like structure with
  • tone
  • intent
  • complexity
  • keywords

No past messages are stored or considered.
No embeddings, attention, or autoregressive prediction.

Example

Input:

"Good day, my mentor, I have a question."

Output (approximate):

{
  "input": "Good day, my mentor, I have a question.",
  "meaning_state": {
    "tone": "inquisitive",
    "intent": "seeking_information",
    "complexity": "moderate",
    "keywords": ["good", "day", "mentor", "question"]
  }
}