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. (by raullenchai)
vibes
A simple mobile-focused chat app to talk to an agent via the ACP protocol (by rcarmo)
| Rapid-MLX | vibes | |
|---|---|---|
| 6 | 6 | |
| 2,756 | 174 | |
| 90.1% | 10.3% | |
| 9.8 | 9.8 | |
| 4 days ago | 8 days ago | |
| Python | Go | |
| Apache License 2.0 | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Rapid-MLX
Posts with mentions or reviews of Rapid-MLX.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2026-05-05.
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Chrome's Gemini Nano Prompt API: A Step-by-Step Guide
💡 💡 Make the fallback cheap to operate. The whole point of using Nano on the supported path is reduced cost. If your fallback is GPT-5.5 at $5/M tokens, you've moved the bill, not deleted it. Two patterns work well: (1) route the fallback to a smaller hosted model (Haiku, Gemini Flash, Mistral Small) that matches Nano's "short summarization" sweet spot; (2) for Mac users specifically, run Rapid-MLX as your /api/llm endpoint — Apple Silicon owners get on-device performance via your server's Mac, not theirs. Same thesis as our DeepClaude guide: the harness is one product, the model is another, and you can swap them.
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Anthropic is allowing the Claude CLI to run OpenClaw again
> Large-context requests auto-route to a cloud LLM (GPT-5, Claude, etc.) when local prefill would be slow. Routing based on new tokens after cache hit. --cloud-model openai/gpt-5 --cloud-threshold 20000
https://github.com/raullenchai/Rapid-MLX
- Show HN: Rapid-MLX – Run local LLMs on Mac, 2-3x faster than alternatives
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Gemma 4 on Apple Silicon: 85 tok/s with a pip install
I've verified this end-to-end with structured output (output_type=BaseModel), streaming, multi-turn conversations, and multi-tool workflows. Test suite here.
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vLLM-mlx – 65 tok/s LLM inference on Mac with tool calling and prompt caching
pip install git+https://github.com/raullenchai/vllm-mlx.git
vibes
Posts with mentions or reviews of vibes.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2026-04-20.
-
Anthropic is allowing the Claude CLI to run OpenClaw again
PSA: Since you are still required to use Claude Code and I have had a bunch of non-technical people asking me to make https://github.com/rcarmo/piclaw based on Claude rather than pi (which is never gonna happen), I have started pivoting its Python grand-daddy into a Go-based web front-end that runs Claude as an ACP agent.
Still early days, but code is available, sort of works if you squint, and welcomes PRs: https://github.com/rcarmo/vibes/tree/go
- I'm going to build my own OpenClaw, with blackjack and bun
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Pi – a minimal terminal coding harness
My current fave harness. I've been using it to great effect, since it is self-extensible, and added support for it to https://github.com/rcarmo/vibes because it is so much faster than ACP.
- A chatbot's worst enemy is page refresh
- Show HN: A simple mobile-focused Agent Control Protocol front-end
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Ask HN: Any real OpenClaw (Clawd Bot/Molt Bot) users? What's your experience?
I ran it for a couple of days in a VM in my Proxmox cluster. It was cute, but so amazingly insecure (systemd + sudo + installing whatever it wanted, plus requiring Telegram for access - or another SIM card for Signal) that I just gave up and started building my own thing (https://github.com/rcarmo/vibes) so I could have a mobile experience I could trust over Tailscale and sandbox copilot CLI (or any ACP-compliant agent) in a container (I've also been working on https://github.com/rcarmo/webterm and https://github.com/rcarmo/agentbox, so I am 300% positive I can do better sandboxing and safer integrations...)
What are some alternatives?
When comparing Rapid-MLX and vibes you can also consider the following projects:
Sacred - Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
agentbox - Contain your coding agents (literally)
MindsDB - General-purpose AI designed for knowledge workers — creators, strategists, and operators — and individuals seeking AI systems they can truly control to help them get work done, with full flexibility to extend and deploy anywhere (VPC, on-prem, or cloud).
webterm - Yet another web terminal, but with style
gym - A toolkit for developing and comparing reinforcement learning algorithms.
openclaw - Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞