qmd-autosearch: Automatically Augmenting QMD Semantic Search When Models Run grep/glob

qmd-autosearch is a plugin for DeepSeek Harness (DSH) that aims to address the lack of semantic understanding in traditional `grep`/`glob` searches. When a model runs searches in a knowledge base directory, the plugin automatically triggers QMD semantic retrieval and injects the results into the model context. Its core features include: LLM-reranked lex+vec queries; prioritization of the latest user message as the semantic query term; asynchronous result injection that does not block the workflow; and duplicate-prevention and fault-tolerance mechanisms. Users must configure the QMD service address and collection list. The plugin does not require manual invocation; once installed, it automatically supplements knowledge base searches with relevant document results, helping the model retrieve semantically related file content.