Distributed Knowledge Processing

Polycentric knowledge processing POC using two independent Flexo MMS instances.

Overview

This project demonstrates polycentric knowledge processing by orchestrating two independent instances of Flexo MMS (Model Management System). Each instance maintains full autonomy over its data, with explicit policy-controlled sharing between instances.

• Alice runs on instance-a (ports 8080/8082/3030)
• Bob runs on instance-b (ports 8180/8182/3130)

Quick Start

# Create virtual environment
uv venv
source .venv/Scripts/activate  # Windows
# source .venv/bin/activate    # Linux/Mac

# Install package
uv pip install -e ".[dev]"

# Start Flexo instances
docker-compose -f instances/instance-a/docker-compose.yml up -d
docker-compose -f instances/instance-b/docker-compose.yml up -d

# Set up instances
python scripts/setup_instances.py

# Run demo
python scripts/demo.py

Documentation

See designs/DESIGN-flexo-poc.md for detailed design documentation.