
GrantAi
The AI that remembers you. Private, on your device.
What it does
GrantAi is an AI assistant with a memory that's actually yours. It remembers every conversation, word for word, and keeps it encrypted on your device, never in a company's cloud. No new chats, no limits, nothing to manage. You just talk, and it remembers. Unlimited chat, private by design. 30-day free trial, then $5.99/month.
AI that remembers everything, stored on your device. Chat, voice, documents, and search with unlimited memory. $5.99/month with 30-day free trial.
You just talk. No new chats, no limits, nothing to manage. Everything you tell it stays on your phone. “My daughter Emma's first word was 'moon.' She said it tonight, looking up at the sky.” “You told me on August 13, 2023 : 'My daughter Emma's first word was moon. She said it tonight, looking up at the sky.'” You said it once, years ago. You never filed it anywhere. It never forgot. Ask anything. Your assistant remembers every conversation—no context windows, no starting over. Find anything you've ever said or learned. Instant recall across years of conversation. Talk naturally. Your words are transcribed and remembered just like text. Drop in files. The assistant reads, remembers, and can…from solonai.com
Does the same job
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Second Brain for AIMay 2026 · github.com · ▲286Persistent memory for Claude, ChatGPT & Cursor. Free.



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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…
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Launched alongside, August 2026
the whole month →- TL
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