Built with MIND

Real-world applications demonstrating MIND's capabilities in GPU computing and AI.

Mind-Ray

GPU Computing

GPU Path Tracer

High-performance path tracer with BVH-accelerated CUDA backend. Benchmarked against Mitsuba 3, Cycles, Falcor, and LuxCore.

Performance10-50x faster than industry engines48x steady-state speedup vs Mitsuba 3

View on GitHub

Game AI

NNUE Chess Engine

GPU-accelerated chess engine with Stockfish-compatible NNUE evaluation, Syzygy tablebase support, and advanced time management.

Features+600 Elo with NNUE evaluationGPU-accelerated search via MIND Runtime

View on GitHub

Fractal Voyager

WebGPU / WebGL2

Real-time Fractal Explorer

Explore infinite mathematical complexity with GPU-accelerated rendering. Dive into Mandelbrot, Julia, and Burning Ship fractals with buttery-smooth zoom and pan controls.

FeaturesWebGPU compute with WebGL2 fallbackAudio-reactive colors from microphone input

View on GitHub Live Demo

Swarm Brain

WebGPUWebNN

Cognitive Runtime Demo

Interactive WebGPU particle simulation demonstrating MIND's cognitive cycle. 5-invariant verification runs every frame, saga rollback restores state on violation, and a SHA-256 hash chain provides tamper-evident audit. Seeded replay for reproducibility.

ArchitectureSense → Think → Act → Verify → Learn cycleGPU compute + verify pipeline, optional NPU acceleration

Live Demo

mind-mem

AI Memory

Memory for AI Coding Agents

Drop-in persistent memory shared across all AI coding clients. One workspace powers Claude Code, Codex, Gemini, Cursor, Windsurf, Zed, and OpenClaw simultaneously.

View on GitHub

mind-inference

LLM Inference

MIND-Native Inference Pipeline

Paged KV cache, FlashAttention-2, speculative decoding, continuous batching, disaggregated prefill/decode, and 512 governance — compiled to native ELF via MLIR. Deterministic by default (CALF 1.0).

Compiled MIND30 TFLOPS matmul · 3.48M TPS with governance12 modules · 5/5 tests · 512 kernel inline

Live Demo

GEMM Bench

WebGPU Benchmark

In-Browser GEMM Benchmark

Apples-to-apples WebGPU matrix multiplication benchmark. Compares MindLang AOT-compiled WGSL shaders against ONNX Runtime Web on your GPU, in your browser.

Performance7-19x faster than ONNX Runtime Web~4.5 TFLOPS at 4096x4096 on WebGPU

Run Benchmark Source

512 War Room

Governance

Adversarial Governance Demo

Can you break legitimacy? Launch 6 adversarial attacks against a live DIFC governance system — forge constraints, suppress signals, replay evidence, flood the pipeline, collude. Watch every attack fail in real-time, with cryptographic proof anchored to Arbitrum.

Pure MIND44 modules · 6 attack vectors · L2 anchoredStory Mode + Free Attack + Regulatory Lens

Live Demo

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