CosmosMesh is a modular open-source platform for offline-first, privacy-preserving coordination among heterogeneous space assets (rovers, drones, habitat modules, orbiting satellites) operating in deep-space fleets with intermittent communication. It
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README.md

CosmosMesh MVP: Privacy-Preserving Federated Mission Planning for Deep-Space Constellations

Overview

  • CosmosMesh is a modular open-source platform for offline-first, privacy-preserving coordination among heterogeneous space assets (rovers, drones, habitat modules, orbiting satellites) operating in deep-space fleets with intermittent communication.
  • It provides a category-theory-inspired compositional optimization layer on top of a mesh communication substrate to enable distributed planning and resource optimization without centralization.
  • MVP surface focuses on a small, testable surface that exercises a CatOpt-like orchestration layer and a canonical bridge to a vendor-agnostic IR.

Key concepts (MVP scope)

  • LocalProblem: per-asset optimization tasks with variables, objectives, and constraints, plus versioning and data contracts.
  • SharedVariables / DualVariables: exchanged signals and multipliers for federated optimization (ADMM-lite).
  • PlanDelta: incremental plan changes with timestamp and author signatures.
  • GoC (Graph-of-Contracts) registry: lightweight, versioned schema registry for adapters and data contracts.
  • Delta-sync and offline resilience: deterministic replay and reconciliation for intermittent links.
  • Privacy by design: secure aggregation, optional local DP budgets, role-based exposure.
  • Identity and security: DIDs or short-lived certificates, tamper-evident logs.
  • Adapters and simulators: reference adapters for rovers, habitat modules, and orbiting assets; a mission-scenario simulator.
  • Open API and governance: canonical interfaces to enable vendor-neutral interoperability and governance anchoring.

MVP Plan (high-level, 812 weeks)

  • Phase 0 (04w): protocol skeleton, two starter adapters (e.g., rover_planner, habitat_module) over TLS; a lightweight ADMM-lite coordinator; end-to-end delta-sync with deterministic replay; toy objective (e.g., mesh energy balance).
  • Phase 1 (48w): governance ledger scaffolding, identity layer (DID/short-lived certs), secure aggregation defaults for SharedVariables; 2-adapter conformance harness.
  • Phase 2 (810w): cross-domain demo in simulation (e.g., rover + habitat + satellite); CosmosMesh SDK bindings (Python/C++); reference transport and contract example.
  • Phase 3 (1012w): hardware-in-the-loop validation (Gazebo/ROS) with KPI dashboards for convergence, delta sizes, latency, and governance auditability.

Interoperability blueprint

  • Canonical bridge (EnergiBridge-style) maps CosmosMesh primitives to a vendor-agnostic CatOpt-like IR:
    • LocalProblem ⇄ LocalProblems (Objects)
    • SharedVariables / DualVariables ⇄ Morphisms
    • PlanDelta ⇄ PlanDelta
    • PrivacyBudget / AuditLog blocks for governance and provenance
  • Graph-of-Contracts (GoC) registry anchors adapters and schemas; per-message metadata guards replay and drift.

Minimal DSL seeds for interoperability (low surface area)

  • LocalProblem { id, domain, assets, objective, constraints, solver_hint }
  • SharedVariables { forecasts, priors, version }
  • PlanDelta { delta, timestamp, author, contract_id, signature }
  • DualVariables { multipliers }
  • PrivacyBudget { signal, budget, expiry }
  • AuditLog { entry, signer, timestamp, contract_id, version }
  • PolicyBlock { safety, exposure_rules }
  • GoC registry entry schema (adapter_id, supported_domains, contract_version)

How to run and contribute

  • Run tests and packaging checks: bash test.sh
  • Build the package for distribution: python3 -m build
  • To contribute, follow AGENTS.md guidance in the repository and open a PR with focused changes.
  • The package is Python-based; packaging relies on pyproject.toml with a README integration:
    • readme = "README.md"

How to extend

  • Add new adapters under the adapters module, following the existing interface patterns.
  • Extend the DSL sketch to cover additional primitives as needed for your mission.
  • Implement a small simulator to exercise delta-sync and islanding scenarios.

Publishing readiness

  • This repository includes a ready-to-publish surface for a production-grade MVP.
  • If you intend to publish, ensure tests pass, add tests for any new public surface, and create a READY_TO_PUBLISH file (present at repo root once ready).

Caveats

  • This is a test-focused MVP surface designed to validate interoperability and the core ideas of privacy-preserving federated planning.
  • The real-world deployment involves more rigorous threat modelling, cryptographic guarantees, and robust networking stacks.

See also

  • AGENTS.md for contribution guidelines and architectural rules.
  • The existing tests cover core bridges (CatOpt and EnergiBridge) and contract models.

Happy coding.