# NeuPlan MVP

This repository contains a minimal, production-oriented scaffold for a neuromorphic planning
stack intended for onboard autonomous planning in space robotics contexts. The MVP focuses on
providing a DSL, a toy neuromorphic intermediate representation (N-IR), a backend shim, and a
deterministic onboard runtime that can be extended to real neuromorphic hardware.

Highlights
- DSL for LocalProblem, PlanDelta, and SharedVariables
- Toy translation to N-IR suitable for testing and integration
- Loihi-like backend shim with deterministic latency/energy model
- Onboard runtime to execute planning within strict budgets
- Basic tests ensuring end-to-end flow and a minimal demo CLI

Installation and testing
- Run: ./test.sh (requires Python 3.9+ and build tools; creates a virtual environment automatically during build)

This is an early-stage MVP; expect to see iterative improvements with governance, safety, and HIL features in subsequent iterations.