Plugin
mlx-serve
OpenAI- and Anthropic-compatible local inference for Apple Silicon — MLX and GGUF — faster than LM Studio on identical MLX weights. No Python. No cloud. No Electron.
2 skills1.5k
Install one, then just prompt in plain English. The FLOW.md fires the right skill at the right moment. No re-orchestration, no babysitting.
Featured
OpenAI- and Anthropic-compatible local inference for Apple Silicon — MLX and GGUF — faster than LM Studio on identical MLX weights. No Python. No cloud. No Electron.
mlx-serve benchmarking methodology — bench.sh/llmprobe usage, comparison-trap rules (same-methodology cells only, spec-decode variance, thermal lies, engine…
mlx-serve pre-release validation checklist, CalVer versioning, release steps, and CHANGELOG style. Use when preparing or cutting a release, running pre-release…
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