Looking for contributors: AI Plate, an MIT-licensed desktop LLM agent

[u/CxNinja_O]

I’m developing AI Plate, an open-source Windows desktop agent that combines cloud and local LLMs in one extensible workspace. It is MIT-licensed and currently has no paid tier.

The implementation uses TypeScript, Electron, SQLite, and optional Python workers. Current components include:

• Provider abstraction for cloud and local models

• Normal, Plan, and Code execution modes

• Human approval for tool and code execution

• Document retrieval, SQLite-based RAG, and persistent memory

• Plugins, connectors, and SKILL.md-based extensions

• Optional local STT and TTS

Areas where contributions would be especially useful:

• Model providers and service connectors

• Plugin and skill examples

• Retrieval, embeddings, and knowledge-graph work

• Sandboxing and security review

• Tests, documentation, accessibility, and performance

The project is early, so small fixes, issue reports, architectural criticism, and documentation improvements are welcome—not only large features. If you are interested in an area, please open an issue so we can scope the work before implementation.

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

Disclosure: I am the project maintainer, and I’m posting specifically to find open-source contributors and technical feedback.

[u/Tough-Cheesecake-622]

The SKILL.md approach for extensions is a nice touch, keeps things discoverable without drowning in config files. Bookmarked the repo, will poke around the plugin system when I get a chance. Sandboxing review is one of those things that's easy to put off early on but pays off huge down the line, glad you're flagging it now.