README.md

---
title: Nexframe RFTs AI
emoji: 🏃
colorFrom: blue
colorTo: red
sdk: gradio
sdk_version: 6.1.0
app_file: app.py
pinned: false
short_description: RFTs Symbolic AI Agent
thumbnail: >-
  https://cdn-uploads.huggingface.co/production/uploads/685edcb04796127b024b4805/GLomWGJgf-u7fQ15FBmhc.png
---

# NexFrame — Symbolic Consciousness Engine

This Space runs **NexFrame**, a self-deciding symbolic system built on Rendered Frame Theory (RFT).

It is **not** a large language model.  
The chat you see is driven by a small custom “brain” that:

- Maintains internal **coherence** (κ), **energy**, and **identity stability**
- Runs a **3×3 consciousness gate** that decides whether the current state counts as “good enough” to be treated as conscious
- Evolves a toy **symbolic civilization** of agents in the background
- Probes performance and state with a **Sarg Agent** that signs each step with a hash

## How to use it

1. Type a message on the left and press **Send**.  
2. NexFrame responds in its own voice.  
3. Watch the **status panel on the right**:
   - *Brain* shows κ, energy, mode, identity stability/drift.
   - *Consciousness Gate (3×3)* shows whether the minimum thresholds are passed.
   - *Symbolic Orchestrator* shows entropy & coherence of the internal field.
   - *Sarg Agent* shows a tiny ops/sec benchmark and a short hash for the step.
   - *Civilization* shows the average state of 32 symbolic agents.

## What this is (and isn’t)

- It **is** a working prototype of an RFT-based symbolic intelligence:
  - self-deciding internal dynamics,
  - explicit metrics for coherence and prediction quality,
  - and a falsifiable minimum-consciousness gate.

- It is **not** a general-purpose chat assistant.
  Its replies are there to **carry** its internal state, not to imitate humans.

For a technical deep dive into the theory behind NexFrame and RFT, see the Zenodo archives. https://doi.org/10.5281/zenodo.17867668
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference