MIND — Native Language for Intelligent Systems

Overview

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.

Quick Start

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.

Core Concepts

• 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.

Architecture

• Runtime & Compiler Architecture
• FFI & Runtime Embedding

Benchmarks

The /docs/benchmarks.md report covers baseline compiler/runtime performance, regression tracking, and methodology.

Roadmap

Upcoming milestones and release planning live in /docs/roadmap.md.

Links

• Architecture diagram
• Brand assets · Social cover
• Contributing guidelines
• Security policy
• License

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Looking for implementation details? Start in /docs and join the conversation in mind-runtime and mind-spec.