ShogunAI
Your personal AGI on your PC. Built to finish real work.
What it does
Personal AGI won't arrive as a better chatbot, rather it arrives as an agent that knows the full state of your work -very person, your every project, every promise - and acts on it That is ShogunAI: general across your work rather than narrow to one task, and living inside your PC rather than someone else's cloud it builds that state as you work, keeps the evidence behind every record, and spends it finishing real work. Reading is automatic. Sending always waits for your approval, macOS today.
A private, local-first AI memory assistant for macOS that recalls work context and turns decisions into action across your tools.
ShogunAI is a private AI memory assistant for Mac. It remembers your work, finds the right context, and acts across your tools. You approve anything that reaches another person. Logos provide product context only and do not imply affiliation or endorsement. ShogunAI is a private AI memory assistant for Mac. It remembers work context across email, meetings, documents, and calendars, then uses that context to prepare or complete the next step inside the tools you already use. Hi Mika — I updated the launch numbers using Tuesday’s decision. The answer to your open question is on page 2. ShogunAI reads its own memory of your day, spots what is still open, and closes it inside the tools you…from shogunaios.com
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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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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…
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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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