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semantic-search

Local semantic code search for DeepSeek Harness: fragment-level symbol-aware indexing, offline lexical embeddings or an OpenAI-compatible endpoint, and hybrid vector + BM25 retrieval fused with RRF - three dsh tools plus a sema CLI.

JohnXu22786 @JohnXu22786 ⬇ 0 ★ 2

Install

dsh plugin --profile web add github:JohnXu22786/semantic-search
Download install manifest

For reproducible installs, append #commit to pin a specific revision.

Local semantic code search for DeepSeek Harness: fragment-level symbol-aware indexing, offline lexical embeddings or an OpenAI-compatible endpoint, and hybrid vector + BM25 retrieval fused with RRF - three dsh tools plus a sema CLI.

No highlight list provided; see the repository README.

  1. Install and start DeepSeek Harness: npx @deepseek-ai/dsh web
  2. Run the install command above (the CLI resolves the plugin and verifies its source)
  3. Confirm with dsh plugins list; restart Harness if required

Plugins run with your dsh process permissions and may execute code during installation. Read the repository source and license first, and check for destructive commands or excessive access. This site only indexes; it does not vouch for third-party plugins.

Repositorygithub.com/JohnXu22786/semantic-search
LicenseNot declared (see repo)
Primary language
Downloads0
GitHub stars2
Last push
Cataloged2026-08-28
CategoryTools & Capabilities

Facts come from a public catalog snapshot (2026-09-16); descriptions are rewritten by us.

Sources: the public DeepSeek Harness plugin catalog and each plugin's GitHub repository. This is an independent third-party directory with no affiliation to or endorsement from DeepSeek, High-Flyer, or the plugin authors.

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