Luke-Yong/dsh-plugin-knowledge-graph
dsh-plugin-knowledge-graph for Deepseek Harness
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What it does
A read_graph tool backed by a codebase knowledge graph (CONTAINS / EXPORTS / IMPORTS / IMPORTS_SYMBOL relations).
Best for
- Agents answering codebase structure and dependency questions through a prebuilt in-memory graph.
- TypeScript, JavaScript, or Python projects that need export, import, dependent, or unused-import queries.
- Large code-navigation workflows where graph queries can reduce repeated file reading and text searches.
Not ideal for
- Production workflows requiring a stable query surface or compatibility guarantees; the project explicitly describes itself as being in infancy.
- Languages outside the documented TypeScript, JavaScript, and Python symbol parsers.
- Multi-project parent directories used as an implicit root; an explicit single-workspace root is required for clean results.
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
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
Frequently Asked QuestionsFAQ
Use the verified command dsh plugin --profile default add github:Luke-Yong/dsh-plugin-knowledge-graph in a DSH-enabled shell. The command resolves the public package metadata and keeps the plugin attached to the catalog identity shown on this page.
Compatibility follows the bundle and profile status shown above. If a profile is not detected, keep the plugin disabled there and check the repository documentation before enabling it in production.
The GitHub link and activity metadata are the source of truth for releases and maintenance. Revisit this page after a new release to confirm the catalog has observed the latest version.