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.
Last commit November 2, 2026, 12 days ago.
4,091 GitHub stars and 0 Honeystax upvotes. Copy the install, test the workflow, then decide if it earns a permanent slot.
Reasonable to try, but it will take more than a quick skim to get real signal.
Starts at 6. Added: GitHub health 71/100 +8, no security policy +8, no code of conduct +3.
AI Agent
Multiple
Model
Multiple
No direct local install flow.
Open the project page, steal the pattern, and decide fast if it deserves a deeper test.
Rapid-MLX is listed on Honeystax as an App for Multiple, since July 18, 2026. Its code is at github.com/raullenchai/Rapid-MLX, with 4,091 GitHub stars and 26 open issues. Last commit November 2, 2026, 12 days ago. GitHub's community health check gives it 71 out of 100.
Source: GitHub repository
Source check: November 2, 2026
Upstream commit: November 2, 2026
Repository state: Not marked archived
Honeystax upvotes are community interest signals, not star ratings. GitHub stars and repository health are source measurements; editorial risk and trial-cost notes are Honeystax analysis.