Installation

Detailed setup instructions for the Concept Kernel Protocol.

Python Implementation

Requirements

• Python 3.11 or later
• Git
• pip or uv

Clone and Install

git clone https://github.com/ConceptKernel/conceptkernel-python.git
cd conceptkernel-python
pip install -r requirements.txt

Optional: Oxigraph Triplestore

For RDF-based ontology storage and SPARQL queries:

pip install pyoxigraph

Optional: DSPy for LLM Integration

For LLM-driven semantic reasoning:

pip install dspy-ai

Verify Installation

python -c "from ck5_lib import ConceptKernel; print('CKP ready')"

Project Structure

After installation, you'll see:

conceptkernel-python/
├── ck5_lib.py           # Core library
├── ck5_cli.py           # CLI interface
├── ck5_storage.py       # Storage abstraction
├── ck5_dspy.py          # DSPy integration
├── ck6_core.py          # v6 orchestrator
├── ck6_ontology.py      # v6 type system
├── ck6_admission.py     # v6 admission kernel
├── ck6_proof.py         # v6 proof kernel
├── ck6_consensus.py     # v6 consensus kernel
├── ck6_constraint.py    # v6 constraint kernel
├── concepts/            # Concept definitions
├── workspace/           # Working directory
└── tests/               # Test suite

Configuration

CKP uses environment-based configuration:

export CKP_STORAGE_BACKEND=disk    # disk | git | oxigraph
export CKP_LOG_LEVEL=info          # debug | info | warn | error
export CKP_WORKSPACE=./workspace   # working directory

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