MIND is a Rust-first language and runtime for building intelligent systems with auditable foundations. It blends declarative tensor algebra, static shape inference, automatic differentiation, and MLIR/LLVM lowering in a compact toolchain that scales from research prototypes to production.
git clone https://github.com/cputer/mind.git
cd mind
cargo run -- eval "let x: Tensor[f32,(2,3)] = 0; x + 1"Explore the full language tour and runtime guides in /docs.
- Type System — ranks, shapes, polymorphism, and effect tracking.
- Autodiff — reverse-mode differentiation on the SSA IR.
- IR & MLIR — compiler pipeline from parser to MLIR dialects.
The /docs/benchmarks.md report covers baseline compiler/runtime performance, regression tracking, and methodology.
Upcoming milestones and release planning live in /docs/roadmap.md.
Looking for implementation details? Start in /docs and join the conversation in mind-runtime and mind-spec.