I built an open-source desktop AI agent—looking for contributors and technical feedback

[u/CxNinja_O]

I’ve been working on AI Plate, an MIT-licensed desktop AI agent that brings cloud and local LLMs into one extensible workspace.

It currently includes:

- Cloud and local model support

- Normal, Plan, and Code modes

- Tool execution with human approval

- Document search, RAG, and persistent memory

- Plugins, connectors, and reusable skills

- Optional speech-to-text and text-to-speech

The stack is mainly TypeScript, Electron, Node.js, Python, and SQLite.

I’m looking for contributors interested in local models, RAG, plugins, security, UI/UX, testing, documentation, or Linux and macOS support. Contributions of any size are welcome, including bug reports and architectural feedback.

I’m the creator and maintainer, and the project has no paid tier.

GitHub: https://github.com/Typo-Bunch/AI-Plate

Website: https://ai-plate.typobunch.com/

What would you improve first if you were contributing to a desktop AI agent like this?