CompNav · Open-source projects
My-neuro
A customizable AI desktop character with voice conversation, streaming, and game-interaction features.
What it is
My-neuro is an AI character workstation for personal character creation. Users can customize personality and appearance, train or switch voices, and interact by voice or text. The project also covers streaming, Minecraft interaction, and a web control panel, so it is more than a chat window. Official materials describe both hosted API connections and local model inference or fine-tuning; the local route involves additional models and runtime setup.
Core mechanisms and capabilities
Characters can use customized personalities and voices, with voice conversation, synchronized captions, and expressions or actions. The project also lists desktop controls, interruption, streaming, AI tutoring, and cooperative games; availability depends on the current version and connected services.
Editorial take
Its distinguishing angle is combining character creation, voice, desktop controls, and streaming or game scenarios in one project. The README describes it as a workstation for building a personal AI character. It should be understood as a configurable creation environment, not a hosted companion service; some items in the documentation are roadmap or in-progress features, so this page describes only documented usage paths.
Who it suits
Suited to people who want to customize an AI character for desktop conversation, streaming, or games and are prepared to configure models, speech, and character assets.
Deployment and technical requirements
The project is primarily run locally or self-hosted, with a desktop character and WebUI control flow. Its repository contains multiple components and setup guides, and users configure the selected models, voices, and scenarios. Some features are still being integrated, so check the relevant documentation before setup.
Runtime requirements
Hosted-model use requires an API connection; local inference or fine-tuning requires the relevant models and compute resources. Voice, Live2D, streaming, and game features may also require their respective engines, assets, or platform credentials.
The project documents both hosted model APIs and local open models. Local inference and fine-tuning require separate model and resource preparation. Voice use requires the relevant TTS and voice assets; cost, hardware needs, and quality vary by setup.
Limitations and considerations
The broad feature set can involve several components during setup and troubleshooting. Hosted-model costs and data handling depend on the provider; local models reduce API dependence but use local resources. Performance and feature statements in the README are project documentation, not independent test results.
Official sources and further reading
Information checked: Oct 26, 2026.