MelumiyaChat
AI roleplay with memory, relationships, and living worlds
What it does
MelumiyaChat is AI roleplay built for stories that actually continue. Characters remember important events, relationships evolve, and lore, secrets, locations, and world state persist across conversations. Create characters and scenarios, manage structured Memories and a living World Bible, and build interconnected fictional worlds where what happens today still matters dozens of conversations later.
Discover MelumiyaChat and Novelyn — immersive creative products for roleplay, storytelling and magical reading journeys.
A family of creative products for immersive roleplay, storytelling and magical reading journeys — each with its own identity, atmosphere and purpose. Characters, scenarios, World Bible continuity and relationship-building in a space designed for people who actually want to live in their stories. Discover Novelyn for a magical reading experience built around books, progression and a living library. From persistent roleplay to living libraries, Melumiya products are designed to feel useful, distinctive and enjoyable to return to. Choose the experience that fits what you want to create, read or explore. AI roleplay built around persistent memory, World Bible canon, evolving relationships and…from melumiya.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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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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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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