DLR
把 tsm-core-dlr 语义服务（LanceDB 向量 + 图）挂为 MCP 工具，并携带与场景无关的 DLR/TSM 建模技能、服务状态浮层与 agent 规则；该服务是硬依赖，须先运行、bundle 才能激活。
- 形态
- Plugin 插件
- 安装
- npm 包安装
- 需要密钥
- 是
- 近月下载
- 1,062
- 最近推送
- 今天更新
项目说明
From README
DLR Proj — Decoupled Logic Representation + Three-Level Semantic Modeling English 中文 -brightgreen) -brightgreen) DLR (Decoupled Logic Representation) is an original data-source-level semantic modeling paradigm: a two-layer model ( LE logical entities / PE physical views) plus two mechanisms ( ARCS projection anchoring, PAS semantic routing).
It decouples the logical concept layer from the physical data layer so an LLM agent can land natural-language questions on relational databases reliably.See docs/03-design.md.
The project runs DLR inside the Three-Level Semantic Modeling (TSM) framework — L1 dlr (data-source level) / L2 consensus (domain-consensus level) / L3 sop (business-logic level).The admission criteria for a piece of knowledge are the governance line.See docs/02-concept.md.
A checkout ships five npm packages — the semantic service, the dsh bundle, the exam system, and two re
Original description
DLR (Decoupled Logic Representation) + Three-Level Semantic Modeling (TSM) — a data-source-level semantic-layer paradigm, its TypeScript service (LanceDB + Neo4j), the dsh integration, and two benchmark scenarios: BIRD mini-dev (500/500) and Cloud-OpsBench (JRA 752/754).
安装方式
npm 包安装 · 需要额外配置密钥
dsh plugin --profile web add "$(pwd)/DSH-based Agent Service/dsh-tsm-agent"dsh (DeepSeek Harness: headless / web)为什么是这个分数
近 1 天仍在推送；README 给出了可直接复制的安装命令；运行前需要准备 API Key 或环境变量；近月 npm 下载 1062 次，star 不多但真在被使用。
- 维护活跃
- 100
- 实用度
- 100
- 生态热度
- 61
- 上手便捷
- 74
- 信号质量
- 100
- 数据置信度
- 85%
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