A DeepSeek Harness (dsh) plugin for local semantic code search. Builds a fragment-level index of a workspace (symbol-aware chunking for many languages), computes local embeddings (lightweight lexical TF-IDF feature vectors by default, or a configurable OpenAI-compatible embedding endpoint), and answers natural-language queries with hybrid retrieval (vector cosine + BM25, fused with reciprocal-rank fusion). Ships dsh tools sema_search / sema_reindex / sema_stats plus a stand-alone CLI.
Local semantic code search for DeepSeek Harness (dsh): fragment-level, symbol-aware indexing, offline lexical embeddings or OpenAI-compatible endpoints, and hybrid vector + BM25 retrieval fused with RRF - three dsh tools (sema_search / sema_reindex / sema_stats) plus a sema CLI.
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