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AI · April 18, 2026

Rapid-MLX – Run local LLMs on Mac, 2-3x faster than alternatives

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. - raullenchai/Rapid-MLX

Rapid-MLX – Run local LLMs on Mac, 2-3x faster than alternatives launched on April 18, 2026 with 9 votes, #1,315 of 21,248 launches that month and more than 75% of that year's launches.

Visit github.com ↗Alternativestop 6% of April 2026

Does a similar job

all alternatives →
  • Ollama v0.19Apr 2026 · ollama.com · ▲410

    Massive local model speedup on Apple Silicon with MLX

  • I made an app to use local AI as daily driver2024 · recurse.chat · ▲637

    Hi Hackers, Excited to share a macOS app I've been working on: https://recurse.chat/ for chatting with local AI. While it's amazing that you can run AI models locally quite easily these days (through llama.cpp / llamafile / ollama / llm CLI etc.), I missed feature complete chat interfaces. Tools like LMStudio are super powerful, but there's a learning curve to it. I'd like to hit a middleground of simplicity and customizability for advanced users. Here's what separates RecurseChat out from similar apps: - UX designed for you to use local AI as a daily driver.…

  • BaseRTJul 2026 · basecompute.co · ▲222

    6.4x faster than llama.cpp, 3.9x faster than MLX

  • Ollama – Run LLMs on your Mac2023 · github.com · ▲284

    Hi HN A few folks and I have been working on this project for a couple weeks now. After previously working on the Docker project for a number of years (both on the container runtime and image registry side), the recent rise in open source language models made us think something similar needed to exist for large language models too. While not exactly the same as running linux containers, running LLMs shares quite a few of the same challenges. There are "base layers" (e.g. models like Llama 2), specific configuration to run correctly (parameters, temperature, context window sizes etc). There's…

  • CaiApr 2026 · getcai.app · ▲179

    Hi HN, Cai runs actions on your selection via ⌥C, pick an action (AI, shell, GitHub issue, Linear ticket), done. Bundled local model (MLX Community), create custom actions with prompts, scripts and more. Free, MIT. Built after my Raycast extension sat in review queue for 3+ months. Wanted no typing, no app switching, no cloud. Repo: https://github.com/cai-layer/cai Demo: https://youtu.be/LH2MYNQ_wsk

  • Apple MLX2023 · pypi.org · ▲138

    An array framework for machine learning on Apple silicon

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