HN · GitHub Signals

OPEN SOURCE, IN FOCUS

tensorfold

ashhart/tensorfold

Fast, exact LLM decoding on Apple Silicon (MLX) behind an OpenAI-compatible endpoint

Explore on GitHub ↗

Saved projects stay in this browser. No account needed.

TAKE A CLOSER LOOK

Start with the source.

The repository is the place to check installation steps, supported platforms, the license, and current maintenance before choosing a tool.

Read the documentation on GitHub ↗

Keep exploring

Find projects in the same areas, or search the archive for a different approach.

ANOTHER GOOD FIND

Explore related projects

View the archive ↗

Connected by topics and descriptions.

gavamedia

deltafin

Run Kimi K3, a 2.8T-parameter Mixture-of-Experts LLM, on a single Apple Silicon Mac. Streams MXFP4 experts on demand over HTTP into a local disk cache — fused NEON kernels, Metal/MPS compute, exact reproducible decoding, and an OpenAI-compatible API server for local chat and coding agents.

Take a look →
ddalcu

mlx-serve

Native LLM inference server for Apple Silicon. OpenAI + Anthropic API compatible. No Python. Includes MLX Core macOS app with chat, agent mode, and tool calling.

Take a look →
raullenchai

rapid-mlx

The fastest local AI engine for Apple Silicon. 4.2x faster than Ollama, 0.08s cached TTFT, 100% tool calling. 17 tool parsers, prompt cache, reasoning separation, cloud routing. Drop-in OpenAI replacement. Works with Claude Code, Cursor, Aider.

Take a look →
youssofal

mtplx

Native MTP Speculative Decoding On Apple Silicon | 2x - 2.5x decode TPS increase at temp 0.6 | MLX-native, OpenAI API/Anthropic-compatible serving, no external drafter.

Take a look →