Plugin directory / Developer / dsh-plugin-knowledge-graph
dsh-plugin-knowledge-graph
Verified · install-tested on dsh Luke-Yong
What it does
dsh-plugin-knowledge-graph for Deepseek Harness
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 treeexports <file>— list every symbol exported by a fileimports_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 symboldependents <file>— find which files import from a fileunused_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
rootdefault (process.cwd()) may be a parent directory containing several independent projects. Always pass an explicitrootpointing at the single workspace you are working in, sostructuredoesn'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
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.