This repository contains only the GRSC core engine of the C7 Architecture. For the full architecture and all formal documents, see: https://github.com/MercAIA/C7 📘 C7 Core — Architecture & Evolution (v0.1)

C7 Core is the foundational architecture extracted from the original 47-phase research process of the C7 Cognitive Framework. This repository represents: • the clean minimal core implementation, • the binding layer (e.g., AudioBrain v1), • and the complete evolution log of the architecture (phases/).

Repository Structure

C7-core/
├── phases/               # 47 raw phase files (design evolution)
│   └── *.md
│
├── src/
│   ├── c7_core/          # The modality-agnostic core architecture
│   │   ├── init.py
│   │   ├── config.py
│   │   ├── grsc_state.py
│   │   ├── observer.py
│   │   ├── decoherence.py
│   │   └── memory_buffer.py
│   │
│   └── c7_bindings/      # Implementations built *on top of* the core
│       ├── init.py
│       └── audio_brain_v1.py
│
├── LICENSE
└── README.md

🧠 What is C7? (High-Level)

The C7 Architecture is a cognitive-state engine based on a 4-variable internal state:

•	G — Grounding
•	R — Reward / Relevance
•	S — Stability
•	C — Coherence

The state evolves through:
1.	Observation
2.	Decoherence Update Dynamics
3.	Short-Term Memory Integration

The entire conceptual evolution is preserved inside phases/.

🧩 C7 Core (src/c7_core/)

This is the minimal, purified, modality-agnostic kernel of C7. It contains:

✔ 
GRSCState

The core vector representation and clamping logic.

✔ 
Observer

Generic observation interface → converts raw inputs into feature maps.

✔ 
DecoherenceEngine

The deterministic update mechanism of the GRSC state.

✔ 
MemoryBuffer

Short-term transition memory supporting analysis & meta-loops.

✔ 
config.py

Centralized rates & initial conditions.

⚠ Important: This folder contains zero modality-specific logic. No Audio, no NLP, no vision — just the pure cognitive model.

🎧 Bindings Layer (src/c7_bindings/)

Bindings are implementations built on top of the C7 Core.

Currently implemented:

🔹 AudioBrain v1

A simple loop that:
1.	Observes input
2.	Updates GRSC
3.	Stores transitions
4.	Returns structured diagnostics

This demonstrates how the C7 Core can be used to build higher-level cognitive agents.

More bindings (text, multimodal, sensor-based) can be added later.

🧬 Phases — The Full Evolution Log (phases/)

This folder contains 47 original .md files, documenting the entire creation path of C7:

•	early GRSC sketches
•	experiment loops
•	discarded approaches
•	breakthroughs
•	the road that led to AudioBrain v1
•	reasoning behind configuration values
•	and refinement of Observer/Decoherence logic

Nothing in this folder should be deleted or rewritten. New phases should be added as new files.

This folder acts as the scientific notebook of the architecture.

🚀 Running the Binding Example (AudioBrain v1)

You can instantiate and run a simple step loop:
from c7_bindings.audio_brain_v1 import AudioBrainV1

brain = AudioBrainV1()

print(brain.step("hello"))
print(brain.step("why are you here?"))
print(brain.step("WOW!"))
Each call returns:
{
  "state": {...},        # new GRSC values
  "features": {...},     # extracted observation features
  "memory_size": ...,
  "mean_c": ...
}

📄 License

This project is licensed under the Apache 2.0 License.

🧭 Future Directions

The repository is designed to expand cleanly:

•	🔹 New modulators: emotion, context, temporal consistency
•	🔹 New bindings: multimodal, sensor-driven, autonomous agents
•	🔹 Formal GRSC dynamics model
•	🔹 Integration with higher-level C7 systems

🏁 Notes

This repository intentionally separates:
•	Core logic (stable, clean)
•	Bindings (replaceable, experiment-driven)
•	Phases (historical / scientific record)

This separation ensures scientific transparency while allowing rapid evolution.