
ClawLodge
Discover and share powerful OpenClaw setups
What it does
🦞 Everyone is tuning their OpenClaw differently — prompts, skills, workflows, tools. But where do those setups go? 🏡 ClawLodge is a place to check in your best OpenClaw setup and check out others. Discover 🧑💻 coding agents, 🔎 research bots, ✍️ writing assistants, 🤖 automation workflows, and more — all tuned by real builders. Think of it as an Agent Zoo for OpenClaw 🐾 Steal the best setups 🧠 Share your own 🛠️ Make your Claw smarter 🚀 OpenClaw builders welcome. 🦞
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com


Launched alongside, March 2026
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Switch from ChatGPT to Claude with import memory feature
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