Self-Hosted AI Agent Stack
Run a 24/7 AI agent on free cloud — production-tested
What it does
Production-tested recipes for running a 24/7 AI agent stack (Hermes + Telegram + WhatsApp bridge) on Oracle Always-Free — scripts, patterns, and hard-won operational lessons - Amz34/selfhosted-agent-stack
Run a 24/7 AI agent on FREE cloud — Hermes + Telegram + WhatsApp, production-tested. Your own AI ops center for ~$0-5/month. Built from real incidents, not tutorials. Production-tested recipes, scripts, and patterns for running a 24/7 AI agent stack on free infrastructure — Hermes Agent gateway + Telegram + WhatsApp bridge + cron watchdogs, all on an Oracle Cloud Always-Free VM for ~$3-5/month total. Built from real incidents: every pitfall documented here is one we actually hit and fixed (409 webhook storms, Baileys multi-device message loss, gateway restart deadlocks, watchdog resurrection). Most "AI agent" tutorials show a demo that stops at a notebook. This repo is the opposite: the…from github.com
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Cloudways Managed AI Agents17d ago · cloudways.com · ▲84Skip the setup and run OpenClaw & Hermes, fully managed
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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 · 26d ago · cactuscompute.com
Launched alongside, August 2026
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Life & fun · 10d ago · louisabraham.github.io
- SA
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 · 17d ago · simedw.com