novaplan-decentralized-privacy-preservin/README.md

NovaPlan MVP

A minimal, open-source MVP for decentralized, privacy-preserving multi-agent mission planning in deep-space robotic constellations.

• Offline-first, privacy-aware coordination across heterogeneous fleets (rovers, drones, habitat bots).
• Local problem solving with a tiny ADMM-like core and federation of agents.
• A lightweight mission ledger that can anchor decisions when ground links are available.
• Lightweight adapters for common hardware and simulation-ready interfaces.
• A clear test and packaging path to verify end-to-end viability.

This repository focuses on a small, well-scoped subset of the NovaPlan ecosystem to demonstrate core ideas and enable further expansion.

How to run tests

• Run: ./test.sh
• This will execute unit tests and verify packaging with python -m build.

Directory layout

• nova_plan/ Core MVP implementation (planner, contracts, ledger, adapters)
• tests/ Unit tests for core workflow and contracts
• adapters/ Stubs for rover and habitat modules
• README.md, AGENTS.md Documentation and governance for the project
• pyproject.toml Build metadata for packaging
• AGENTS.md Architecture and contribution guidelines
• READY_TO_PUBLISH (created after the repo is ready for publishing)

Note: This is a minimal MVP intended for demonstration and testing; it is not a production-ready system.