catopt-graph-graph-calculus.../AGENTS.md

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CATOPT-GRAPH AGENTS
Overview
- This repository contains a minimal, working MVP of CatOpt-Graph: a graph-calculus-inspired orchestration layer for compositional optimization across edge devices.
- The MVP focuses on a simple asynchronous-like ADMM-lite solver, contract primitives (Objects, Morphisms, Functors), and two starter adapters (rover and habitat) that map to canonical representations.
Architecture (high-level)
- core: Objects, Morphisms, Functors, and a tiny contract registry skeleton.
- admm_lite: a lightweight, fault-tolerant, delta-sync solver for two agents solving a simple distributed objective with a shared constraint.
- adapters/: two starter adapters (rover and habitat) provide readState/exposeLocalProblemData/applyCommand interfaces.
- transport: placeholder TLS/REST-like transport surface (mocked in MVP).
- governance: lightweight auditing placeholder.
- tests: unit tests for the ADMM-lite core.
How to run tests
- Ensure Python 3.10+ is installed.
- Run: bash test.sh
Development workflow
- Use the provided DAG of modules to extend adapters and add new ones.
- All changes should be backed by tests.
Note
- This is a minimal, opinionated MVP to bootstrap cross-domain interoperability. It is not a full production system.