CosmosMesh: Privacy-Preserving Federated Mission Planning (MVP)

CosmosMesh is a modular, offline-first coordination platform for heterogeneous space assets (rovers, drones, habitat modules, orbiting satellites) operating in deep-space fleets with intermittent communication.

This repository hosts an MVP scaffold intended to demonstrate the core idea: privacy-preserving, federated planning via a compositional optimization layer atop a mesh communication substrate. The MVP includes:

• A minimal Python package that exposes a tiny ADMM-like solver placeholder for distributed optimization.
• A simple smoke-test to verify packaging and basic API surface.
• A lightweight test harness and packaging flow to validate build/install workflows.

How to run the tests and build locally:

• Run tests and packaging: ./test.sh
• View the PM: package metadata is defined in pyproject.toml; README is included as the long description in packaging metadata.

Notes:

• This MVP is intentionally small. The real system would implement: data contracts, delta-sync, secure aggregation, DID-based identities, adapters, and a global assembly layer.
• The repository is structured to be extended incrementally with additional adapters, simulators, and governance features.

This README will evolve as the MVP grows.

Ready to publish marker:

• When you’re ready to publish, a READY_TO_PUBLISH file will be created in the repo root.