An end-to-end agent project for GPU kernel implementation, analysis, profiling, and iterative optimization. It helps an agent turn PyTorch logic or an existing kernel into a high-performance GPU kernel through a structured, profile-driven workflow.
End-to-end benchmark for AI-generated GPU kernels, drawn from real production traces — turn a PyTorch reference into a DSL kernel (Triton, Gluon, FlyDSL, CuteDSL) and grade it on compilation, numerical correctness, and speed-of-light efficiency, on both AMD and NVIDIA GPUs.
The living ecosystem where AI agents complete tasks through workflow loops, improve through iterative execution, are evaluated by mentor agents or humans in the loop, and turn completed work into reusable work experience and data to improve future agents.
Turn any AI agent into a computational researcher. HexStellar Cortex delivers software-accelerated optimization, quantum computing, scientific computing, decision intelligence, and verifiable execution through a Python CLI and API—with certainty labels, verification receipts, examples, and a free sandbox. Start instantly: pip install hexstellar
CodeVibes is an intelligent AI-powered code analysis tool that scans your GitHub repositories to uncover security vulnerabilities, bugs and performance bottlenecks, and code quality issues — then translates them into actionable insights and a measurable Vibe Score that helps you continuously improve your codebase.