插件目录 / Developer / dsh-plugin-knowledge-graph
dsh-plugin-knowledge-graph
已验证 · 实测可装 Luke-Yong
功能简介
Deepseek Harness 知识图谱插件
可用 — 实测通过,早期项目
Deepseek Harness 知识图谱插件 实测能干净安装、正常启动。早期项目,但功能可用。
「已验证」表示我们的自动化 CI 在干净 profile 里实际执行了 dsh plugin add 并启动成功——仅此而已。功能描述与版本兼容性均为作者声明。这不是安全审计,也不代表对第三方代码的背书。
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
安装
装一次目录插件,之后本站所有插件都能让 DeepSeek Harness 自动找、自动装:
dsh plugin add dshbase-catalog 然后对 agent 说「帮我装 dsh-plugin-knowledge-graph」,它会在目录里找到并自动安装。文档:dshbase-catalog · 已验证场景包。
该插件是 GitHub 源码(未发 npm)——直接从仓库装:
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 实测报告
验证通过:从 GitHub 源码完成 L1 安装 + L2 加载 + L3 运行(dsh 0.1.0-rc.6)。
使用场景
扩展 agent 的编码能力面——给它一个新工具、工作流或集成,让它接手以前做不了的开发任务。
适合谁
想让 dsh 在真实代码库上像队友一样干活的开发者——能改、能跑、能验证,而不只是回答问题。
二次开发建议
工具/命令面就是缝:暴露更多 SDK 能力、加更聪明的上下文接线,或收紧改代码与验证之间的循环。