Pika Voice - Control Your PC with Voice
Smart AI voice control for your PC that improves over time
What it does
Pika Voice is an AI assistant for PC that lets you control your desktop using natural voice commands. This AI assistant for PC helps you open apps, manage files, automate tasks, and adjust system settings hands-free. Designed as a powerful voice assistant for PC, it learns from your input, allowing you to add new commands and improve functionality over time for a smarter desktop experience.
Does the same job
all alternatives →- PCPi-C.A.R.D, a Raspberry Pi Voice Assistant2024 · github.com · ▲344
Pi-card is an AI powered voice assistant running locally on a Raspberry Pi. It is capable of doing anything a standard LLM (like ChatGPT) can do in a conversational setting. In addition, if there is a camera equipped, you can also ask Pi-card to take a photo, describe what it sees, and then ask questions about that. It uses distributed models so latency is something I'm working on, but I am curious on where this could go, if anywhere. Very much a WIP. Feedback welcome :-)
- VAVoxos.ai – An Open-Source Desktop Voice Assistant2024 · gitlab.com · ▲123
Voxos is an open-source desktop voice assistant that aims to put Clippy to shame while supporting new desktop workflows powered by LLMs. Tired of copy and pasting ChatGPT responses between your web browser and IDE? Does your copilot not quite do what you need it to do? I invite you to give Voxos a try and maybe even become a contributor!
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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, March 2026
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