README.md

metadata

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