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raullenchai / Rapid-MLX

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.

Why this job: says: inference server, llm inference; topics: apple-silicon, local-llm, llm-inference, local-ai, mlx

What it does

Measured speed on a Mac Studio M5 Max (36 GB) — Rapid-MLX 0.16.1 vs oMLX 0.7.0 and LM Studio, using the same base 4-bit weights for each model.

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit today
Stars
4,122
+32 this week
Licence
Custom
Read before business use
Downloads for
None listed
No release files
Latest version
v1.0.2
Released 4 days ago
Built with
Python
79% of the code

Is it looked after?

Contributors
2
Last 90 days
Issues
100% closed
3 still open
Pull requests
3,157 merged
4 waiting
Releases
282
30+ in the last year

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More: languages, topics, project record and preview image

Languages

  • Python 79%
  • Swift 19%
  • Shell 2%
  • HTML <1%

Topics

  • apple-silicon
  • local-llm
  • macos
  • mlx
  • tool-calling
  • ollama-alternative
  • claude-code
  • anthropic-api
  • coding-agents
  • continuous-batching
  • inference-server
  • llm-inference

Project record

  • JobLocal LLMs
  • StatusListed
  • Commits3,694
  • Forks440
  • Watching64
  • Stars in 28 days+159
  • CreatedFeb 25, 2026
  • First seen by usNov 7, 2026
  • CheckedNov 10, 2026

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