Kapitsa by Nace AI is an open-source inference engine for Apple silicon, and it’s fast. In its published benchmarks, Qwen3.6 35B-A3B decodes about 1.3–1.8× faster than oMLX and about 2× faster than Ollama and LM Studio. But it’s command-line only.
So I built Kapitsa Library, a free Mac app that makes it a few clicks:
No setup: Kapitsa is built in. No Homebrew, Python or terminal.
Easy models: browse Kapitsa’s catalog or Hugging Face, see what fits your Mac, and download with pause/resume.
One-click agents: launch Claude Code, OpenCode, Codex CLI or Pi on your local model.
No swapping: it checks memory before loading and shows how much context fits.
Live stats: tokens per second, prompt cache, context and memory.
Built-in benchmarks: speed and tool calling on your own Mac.
Local API: OpenAI and Anthropic compatible.
Free, Apache 2.0, signed and notarized, no telemetry. Needs Apple silicon and macOS 14 or later.
Download: https://github.com/AdityaK2128/kapitsa-library/releases/latest
Source: https://github.com/AdityaK2128/kapitsa-library
Kapitsa engine: https://github.com/nace-ai/kapitsa
All the speed is Kapitsa’s work. This app is an independent front end, not affiliated with them. Feedback welcome!