Introduction to the DeepSeek Harness MoA Plugin

`dsh-moa` is a multi-agent collaboration plugin for DeepSeek Harness (DSH), designed to address the limitations of single models in complex tasks through a Mixture of Agents (MoA) architecture. It supports the `/moa` command and offers core features such as adaptive question gating, parallel proposals, review mechanisms, disk-level candidate isolation, and incremental editing. It also provides native settings cards, quick mode, and win-rate leaderboards, and can integrate with Live Canvas. By promoting the best solution among multiple models to the project root directory, the plugin significantly improves the reliability and quality of code generation.