title	Symbolic Recursive Engine
emoji	🌀
colorFrom	blue
colorTo	purple
sdk	gradio
sdk_version	5.9.1
python_version	3.12
app_file	huggingface/app.py
pinned	false
license	mit
short_description	SRC kernel — Dx/O(f), live Q(t), PrimalLang, MCP tools
language	en
tags	symbolic-recursion coherence-kernel primal-logic primallang mcp tool-augmented-generation physics cymatics agent-tools sensors atlas-fusion text-generation
pipeline_tag	text-generation
library_name	gradio
base_model	meta-llama/Llama-3.1-8B-Instruct moonshotai/Kimi-K2-Instruct-0905 deepseek-ai/DeepSeek-R1 openai/gpt-oss-120b
datasets
metrics	coherence_retention semantic_coherence

Symbolic Recursion Coherence

Author: Donte Lightfoot · License: MIT · Status: Open research

Public mirrors

• GitHub: https://github.com/STLNFTART/symbolic-recursion-coherence
• Hugging Face (full stack): https://huggingface.co/dontelightfoot/symbolic-recursion-coherence
• Hugging Face (Amyloid package): https://huggingface.co/dontelightfoot/amyloid-beta-42-quantum-prototype
• Portal: https://huggingface.co/spaces/dontelightfoot/symbolic-recursive-engine

Amyloid beta-42: 4-qubit truncated quantum prototype with the full circuit embedded in the model. Not clinical. Not full biology.

Symbolic Recursive Engine

Symbolic Recursion Coherence Kernel — a tool-augmented inference system for coherence diagnostics, live environmental sensing, PrimalLang v3 physics, and agent-to-agent (MCP) compute.

Based on Symbolic Recursion as a Meta-Operator for Coherence in Complex Systems (Primal Logic sovereign kernel).

Model Description

This Space / repo is not a standalone fine-tuned weights checkpoint. It is a tool-augmented research stack that:

1. Pulls live sensor data (Open-Meteo weather + NOAA K-index) into composite Q(t) = DT + DP + DEM + DW
2. Integrates Dx(t) = ∫ a·Q(t) dt and meta-operator O(f)(t) = ∫ b·f(t) dt
3. Routes chat through Hugging Face Inference Providers (Llama 3.1 8B primary) with kernel tool context
4. Exposes MCP tools for Cursor, Claude, and other agents
5. Runs PrimalLang v3 cymatics / quantum / plate-physics scripts
6. Includes Amyloid beta-42 4-qubit quantum prototype (full circuit embedded in the model)
7. Includes DBITS (Dynamic Quantum Bits) proofs and simulation modules

Amyloid beta-42 (open exhibit)

from symbolic_recursion.models.amyloid_beta import AmyloidBeta42Model
m = AmyloidBeta42Model()
print(m.run())           # package verification + metrics
print(m.full_circuit)    # complete circuit dump (not truncated)

Claim boundary: 4-site truncated Aβ42-labeled quantum prototype. Not a full biological model. Not medical advice.

Package: models/amyloid_beta/ · Portfolio: models/amyloid_beta/SCHOLARSHIP_PORTFOLIO.md

Constant	Value
μ (Lightfoot)	0.16905
D attractor	149.999
a (recursion gain)	1.0
b (meta-operator)	0.091

Intended Uses

• Coherence diagnostics — recursion integrity, collapse risk, sensor coupling
• Live environmental Q(t) — temperature, pressure, geomagnetic, wind deviations
• Physics simulation — PrimalLang chladni plates, eigenfreq, modal response, quantum gates
• Agent tooling — MCP server for autonomous agent-to-agent compute deals
• Research — 20-operator benchmark table (gradient, Fourier, wavelet, etc.)

Out-of-Scope Uses

• Not a medical, financial, or safety-critical decision system
• Sensor values are live public feeds — not calibrated instrumentation
• Chat responses depend on upstream LLM providers; kernel tools ground but do not guarantee factual accuracy

How to Use

Space UI

Open the Chat tab and ask about:

• Live Q(t) and Dx trajectory
• Coherence retention and recursion integrity
• Cymatics at 528 Hz (or any frequency)
• 3IA Atlas fusion

Use Kernel Tools and PrimalLang tabs for direct tool execution.

MCP (agents)

python -m symbolic_recursion.mcp.server

Tool	Purpose
live_sensors	Current Q(t) + instant Dx
coherence_analysis	Retention score + diagnosis
primallang_cymatics	Chladni plate physics at Hz
primallang_fuse_q	Fuse sensor series into PrimalLang
atlas_fusion	3IA recursive memory kernel
chat_with_kernel	Full inference with auto tool selection

Local API

pip install -e .
uvicorn symbolic_recursion.server:app --port 8080

Endpoint	Description
GET /health	Kernel + engine status
POST /api/chat	Tool-augmented inference
POST /api/primallang/run	Run .primal scripts
POST /api/primallang/cymatics	Cymatics demo
GET /api/tools/{name}	Direct kernel tool access

Base Models (chat routing)

Chat inference uses Hugging Face Inference Providers with automatic fallback:

Model	Role
meta-llama/Llama-3.1-8B-Instruct	Primary
moonshotai/Kimi-K2-Instruct-0905	Fallback
deepseek-ai/DeepSeek-R1	Fallback
openai/gpt-oss-120b	Fallback

Embeddings: sentence-transformers/all-MiniLM-L6-v2 (semantic coherence scoring)

Data Sources

Source	URL	API key
Open-Meteo	api.open-meteo.com	None
NOAA K-index	services.swpc.noaa.gov	None

No Hugging Face datasets are bundled. Q(t) is computed live at inference time.

Evaluation Metrics

Metric	Description
coherence_retention	Correlation-based retention of Q(t) through Dx integration (0–1)
semantic_coherence	Embedding distance drift across chat session turns (0–1)

20-operator benchmark table available via benchmark_operators MCP tool or GET /api/benchmarks.

Environment Variables

Variable	Purpose
HF_TOKEN	Hugging Face Inference API (required for LLM chat on Space)
HF_CHAT_MODEL	Override primary model (default: Llama 3.1 8B)
HF_EMBED_MODEL	Embedding model for semantic coherence
GATEWAY_URL	Optional physics gateway (http://localhost:3000)
SENSOR_LAT / SENSOR_LON	Default sensor coordinates

Citation

@software{symbolic_recursive_engine,
  title  = {Symbolic Recursive Engine},
  author = {Donte Lightfoot},
  year   = {2026},
  url    = {https://huggingface.co/spaces/dontelightfoot/symbolic-recursive-engine}
}

License

MIT — see repository for full terms.