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llama-cpp

Self-hosted LLM serving where the model store IS the registry: drop a GGUF in the directory and it is servable, no registration step.

Make small local LLMs reliable at multi-step agent workflows. Constrained decoding + verify-before-commit: 96.5% end-to-end vs 2.0% unguarded on a 50-step run. Zero dependencies, runs on-prem.

Native macOS app for Shapearator: extract, name and export every icon from a single sheet, entirely on your Mac. Bundles its own engine, so there is nothing to install.

Turn one crowded sheet of drawn icons into a clean, individually named, ready-to-use asset library. Local-first desktop app and CLI, with optional AI naming by a vision model running on your own machine.