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dsh-plugin-knowledge-graph

Verified · install-tested on dsh Luke-Yong

✓ Actively maintained Builds on 2 official DSH packages Pure TypeScript

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2026-08-17Last push
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What it does

dsh-plugin-knowledge-graph for Deepseek Harness

✅
Our take
Works — verified, early-stage project

dsh-plugin-knowledge-graph for Deepseek Harness It installs cleanly and boots without issues in our testing. It's early-stage but functional.

“Verified” means our automated CI actually ran dsh plugin add in a clean profile and it booted — nothing more. Feature descriptions and version compatibility are the author’s claims. This is not a security audit and not an endorsement of third-party code.

README

dsh-plugin-knowledge-graph

A DeepSeek Harness (DSH) plugin that exposes a read_graph tool backed by a codebase knowledge graph. The graph tracks every file, directory, exported symbol, and their relationships so an agent can answer structural and dependency questions faster than grepping or reading files.

Status: infancy. This project is in its infancy stage. Execution behavior, the query surface, and compatibility may change while the project is iterated on and tested by the open source community.

Derived work. This project is derived from the knowledge graph tool in Luke-Yong/H, adapted to DeepSeek Harness's "everything is a plugin" model.

What it does

Given a workspace root, the plugin builds an in-memory graph and answers queries such as:

  • structure — print the full directory tree
  • exports <file> — list every symbol exported by a file
  • imports_of <file> — list symbols a file imports (with their source files; stdlib/third-party imports are tagged)
  • exporters_of <symbol> — find which files export a symbol
  • dependents <file> — find which files import from a file
  • unused_imports <file> — list imports never referenced in the file

Symbols are parsed from TypeScript/JavaScript (via the TypeScript compiler API) and Python (module-level def, class, and name = value bindings).

Graph model

The graph uses three node types and four edge types:

Nodes Meaning
dir A directory
file A source file
symbol An exported symbol (function, class, const, type, interface, enum, default)
Edges Meaning
CONTAINS Structural parent → child (dir → dir/file, file → symbol)
EXPORTS File → symbol it exports
IMPORTS File-level dependency (file → file)
IMPORTS_SYMBOL Precise symbol-level dependency (file → symbol)

Installation

Install with the DSH CLI into a profile:

dsh plugin --profile web add github:Luke-Yong/dsh-plugin-knowledge-graph

Pin to a specific commit for reproducibility:

dsh plugin --profile web add github:Luke-Yong/dsh-plugin-knowledge-graph#<commit-sha>

Usage

The plugin registers a single tool, read_graph, on ctx.tools. Its parameters:

Parameter Type Required Description
query string yes Query string in <query_type> <target> form
root string no Absolute workspace root to graph. Defaults to process.cwd()

Root hygiene: the root default (process.cwd()) may be a parent directory containing several independent projects. Always pass an explicit root pointing at the single workspace you are working in, so structure doesn't descend into sibling trees.

Example queries:

exports src/index.ts
exporters_of buildKnowledgeGraph
imports_of src/query.ts
dependents src/knowledgeGraph.ts
unused_imports app.py
structure

Project structure

src/
  index.ts         Plugin entry — registers the read_graph tool
  knowledgeGraph.ts  Graph builder (filesystem walk, import/export parsing, serialization)
  query.ts         Query engine (runGraphQuery)

Building

npm run build   # tsc -p tsconfig.json

Output is emitted to dist/ (dist/index.js is the package entry point).

License

MIT

Install

🧩 Let your agent install it (recommended)

Install the catalog once, then DeepSeek Harness can find and install any plugin from this site automatically:

dsh plugin add dshbase-catalog

Then say "install dsh-plugin-knowledge-graph for me" — your agent finds it in the directory and installs it. Docs: dshbase-catalog · verified packs.

This plugin is GitHub source (not published to npm) — install it straight from the repo:

Web profile:

dsh plugin --profile web add github:Luke-Yong/dsh-plugin-knowledge-graph

Headless (CLI) profile:

dsh plugin --profile headless add github:Luke-Yong/dsh-plugin-knowledge-graph

Test report

Verified: L1 install + L2 load + L3 runtime from GitHub source on dsh 0.1.0-rc.6.

When to use it

Extend the agent's coding surface — give it a new tool, workflow, or integration so it handles a dev task it couldn't before.

Who it's for

Developers who want dsh to behave like a teammate on real codebases — editing, running, and verifying changes rather than just answering.

For developers — extending it

The tool/command surface is the seam: expose more of the SDK, add smarter context wiring, or tighten the loop between code changes and verification.

Security: not yet scanned — our daily static scan will cover it shortly.

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