raullenchai/Rapid-MLX
- Total stars
- 3,913
- Today · UTC
- +1since 11:46 UTC
More actions
Rapid-MLX is an open-source (Apache 2.0) OpenAI- and Anthropic-compatible LLM inference server for Apple Silicon, built on MLX, focused on reliable tool calling for coding agents. Up to 4× faster than Apple's MLX (mlx-lm) on the same weights.
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About the project
An open-source (Apache 2.0) LLM inference server for Apple Silicon built on MLX, exposing OpenAI- and Anthropic-compatible APIs and focused on reliable tool calling for coding agents. Claimed up to 4× faster than mlx-lm on the same weights.
Useful for
- Point Claude Code or another agent at the local Anthropic-compatible endpoint
- Run a local OpenAI-compatible server on a Mac for chat and tool calling without the cloud
- Benchmark decode speed against mlx-lm or Ollama on your own M-series Mac
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Star growth looks organic. Data as of October 6, 2026, 13:38 UTC.
The star-growth assessment does not verify whether the project is safe to run.
Stars per day
Bars show daily stars; the line is a moving average of the available history. Short histories do not yet establish a reliable usual pace. Red marks spike days.
Why it’s trending
- Star-counter measurements on 2026-10-06 (UTC), 11:46–13:31: 3912 → 3913 stars (+1). This is the change over that interval.
- Estimated end-of-day forecast: about +4 stars, using observed gains and the previous day.
- GitHub Trending Python today: #8, +16 stars.
Three GitHub discoveries in each edition
What they do, why they are gaining interest, and what to check before using them.
Editions at 10:00, 16:00, 22:00 MSK.
Numbers
- Total stars
- 3,913
- Today
- +1 star measured 2026-10-06, 11:46–13:31 UTC, ≈ 4 by evening
- Forks
- 429
- Issues and pull requests
- 4,154
- Watchers
- 65
- Language
- Python
- Latest release
- v0.15.6 · October 4, 2026
- Created
- February 25, 2026
- Last push
- October 6, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- October 6, 2026GitHub Trending Python today: #8, +16 stars
README badge
Paste it into your README — the badge shows the current magnitude and links to this page.
[](https://gitnova.dev/en/r/raullenchai/Rapid-MLX)