# CatOpt-Grid

Category-Theoretic Compositional Optimizer for Cross-Domain, Privacy-Preserving Distributed Edge Meshes.

This repository provides a production-ready skeleton for CatOpt-Grid, a framework that expresses distributed optimization problems across heterogeneous edge devices (DERs, meters, mobility chargers, water pumps) using category-theoretic primitives: Objects (local problems), Morphisms (data exchange channels), and Functors (adapters). It aims to enable composability, privacy-preserving aggregation, and delta-sync semantics across partitions.

Design goals
- Privacy by design: secure aggregation, optional local differential privacy, and federated updates.
- Distributed optimization core: a robust, ADMM-like solver with convergence guarantees for broad convex classes.
- Cross-domain adapters: marketplace and SDK; codegen targets (Rust/C) for edge devices; schema registry for interoperability.
- Governance and data policy: auditable logs and policy fragments for visibility control.
- Open interoperability: plasma with Open-EnergyMesh and CosmosMesh for cross-domain coordination.

Getting started
- This is a skeleton MVP focused on core primitives and a minimal solver to enable testing and integration.
- Install: python3 -m pip install . (after packaging)
- Run tests: bash test.sh

Contributing
- See AGENTS.md for architectural rules and contribution guidelines.

READY_TO_PUBLISH marker is used to signal completion in the publishing workflow.