 | I built an open-source, storytelling toy for my nephew who uses a Yoto toy. My sister told me he talks to the stories sometimes and I thought it could be cool if he could actually talk to those characters in stories but not send the conversation transcript to cloud providers. This is my voice AI stack:
This repo supports inference on Apple Silicon chips (M1/2/3/4/5) but I am planning to add Windows soon. Would love to hear your thoughts on the project. This is the github repo: https://github.com/akdeb/open-toys [link] [comments] |
I built a screen-free, storytelling toy for kids with Qwen3-TTS
Reddit r/LocalLLaMA / 3/16/2026
💬 OpinionDeveloper Stack & InfrastructureTools & Practical UsageModels & Research
Key Points
- The author built an open-source, screen-free storytelling toy for kids that enables interactive conversations with story characters without sending transcripts to cloud providers.
- It uses a voice AI stack including ESP32 on Arduino, MLX-audio for STT (Whisper) and TTS (Qwen3-tts, chatterbox-turbo), MLX-vlm for vision-language models (Qwen3.5-9B, Mistral), MLX-lm for LLMs (Qwen3, Llama3.2), and Secure WebSockets to interface with a MacBook.
- The project supports on-device inference on Apple Silicon (M1/M2/M3/M4/M5) with Windows support planned for the future.
- The code is available at the open-toys GitHub repo (https://github.com/akdeb/open-toys), inviting community feedback.
Related Articles
We Scanned 11,529 MCP Servers for EU AI Act Compliance
Dev.to
The Complete Guide to AI Prompts for Content Creators
Dev.to
Automating the Chase: AI for Festival Vendor Compliance
Dev.to
From Piles to Protocol: AI for Vendor Compliance at Scale
Dev.to
MCP Skills vs MCP Tools: The Right Way to Configure Your Server
Dev.to
