Crewhelm
MCP control plane for AI agents on Cloudflare
What it does
Crewhelm is an open-source, self-hosted playground for long-lived AI agents on your own Cloudflare account. Spin it up with one command, then use Claude, Codex, or any MCP client to create agents, connect tools, schedule jobs, react to events, and share reusable recipes. No new dashboard or workflow engine to babysit—just a quick way to play with agent ideas and turn the good ones into things that keep running.
The open-source personal control plane for owner-controlled Agents on Cloudflare.
Crewhelm creates and operates long-lived Agents on your Cloudflare account—with exact capability grants, immutable revisions, budgets, approvals, and a complete audit trail. For people who want useful Agents without becoming platform operators. Tool visibility is not authority. Every action is checked against the exact Agent revision, grant, limits, and run context. Deploy Crewhelm to your Cloudflare account. Keep durable state, policy, and operational control in infrastructure you own. Connections and capability grants are explicit. Provider credentials remain in Composio; Agents receive bounded use, never the keys. Schedules and manual runs dispatch once, observe budgets, and proceed…from crewhelm.app
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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.
AI · 16d ago · simedw.com
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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…
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Launched alongside, August 2026
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Life & fun · 9d ago · louisabraham.github.io
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Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
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.
AI · 16d ago · simedw.com