32 lines
1.7 KiB
Markdown
32 lines
1.7 KiB
Markdown
# CosmosMesh Privacy-Preserving Federated Mission Planning
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This repository contains a production-oriented MVP of CosmosMesh, a privacy-preserving,
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offline-first federation platform for distributed mission planning across diverse
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space assets (rovers, drones, habitat modules, and orbiting satellites).
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Key concepts
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- Local optimization problems (contracts) per asset with explicit data contracts and versioning.
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- Federated optimization through lightweight sharing of summarized signals (primal/dual variables) and aggregated statistics.
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- Global assembly of local problems into a feasible fleet plan with delta-sync and audit trails.
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- Privacy-by-design: secure aggregation, optional local differential privacy, and role-based access to signals.
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- Identity and security: DIDs, short-lived certificates, tamper-evident logging.
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- Adapters and simulators to bootstrap cross-domain interoperability and testing.
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- Open API and governance ledger for provenance and interoperability.
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This repository provides a minimal yet production-minded surface to bootstrap the
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ecosystem, with a focus on small, well-scoped changes and testable interfaces.
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How to run tests
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- Ensure dependencies are installed via the packaging metadata in pyproject.toml.
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- Run tests: bash test.sh
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- Build the package: python3 -m build
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Note: The MVP is deliberately lean. The roadmap includes a canonical EnergiBridge for
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vendor-agnostic interoperability, a minimal DSL, and two starter adapters to bootstrap
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cross-domain demonstrations.
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For maintainers
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- Follow the architecture described in AGENTS.md and keep changes small and well-documented.
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- Add tests for any public surface changes.
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- If new dependencies are introduced, update pyproject.toml accordingly.
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