KnowLP-RAG: dual knowledge-graph RAG for Markdown notes — dsh plugin add @eqman00003/knowlp-rag · MCP + native Cordis plugin for DeepSeek Harness (dsh) & Claude Code
Pending human review — the facts below come from the source repository.
KnowLP-RAG: dual knowledge-graph RAG for Markdown notes — dsh plugin add @eqman00003/knowlp-rag · MCP + native Cordis plugin for DeepSeek Harness (dsh) & Claude Code
Users who want this capability in DSH; check the source and docs before installing.
dsh plugin --profile web add github:wly8691-jpg/knowlp-rag No supported platforms were declared.
--- ## 快速开始(3 步) bash # ① 安装(npm 官方源) dsh plugin add "@eqman00003/knowlp-rag" # ② 必配两个环境变量(不配则双图引擎空转,只剩全文搜索) export KNOWLP_VAULT="$HOME/Notes" # 你的 Markdown 笔记目录 export KNOWLP_GRAPH_DIR="$HOME/.knowlp-dsh" # 可写索引目录 # ③ 重启 dsh web,首次搜索触发 Python 环境自举(约 30s,勿中断) ## 五个工具 | 工具 | 作用 | |---|---| | knowlp_search | 四引擎扇出检索(双图 P/S-Agent + 向量 + 全文) | | knowlp_get_note | 读笔记内容(只读,防路径穿越) | | knowlp_stats | 引擎/图健康度自检(排障第一入口) | | knowlp_record_feedback | 显式反馈(权重闭环唯一入口) | | skill_search | 技能索引检索 | ## 文档 - 安装与使用说明:docs/usage.md - 排障手册:docs/troubleshooting.md - dsh 接入细节(环境变量/Cordis 插件):dsh/README.md ## 为什么是 KnowLP? Grep 搜 "RAG architecture" 给你 105 个文件。KnowLP 给你 3 条带依赖上下文的排序命中。 | | grep | 朴素向量库 | KnowLP | |---|---|---|---| | 结果排序 | ❌ | ✅ | ✅ | | 依赖链(P-Agent) | ❌ | ❌ | ✅ | | 相似替代(S-Agent) | ❌ | ❌ | ✅ | | 无 GPU 可用 | ✅ | ❌ | ✅(n-gram 模式) | | 越用越好(反馈) | ❌ | ❌ | ✅(权重闭环) | | 段落级匹配 | ❌ | ❌ | ✅ | | 衰减遗忘(用进废退) | ❌ | ❌ | ✅(半衰期三档) | 区别:向量搜索找"包含关键词"的文档;KnowLP 找"因你的查询而该读"的文档,附阅读路径。笔记间的权重随使用演化——被消费的边加强,长期不用的边按半衰期衰减(过程性 1 天 / 一般 30 天 / 陈述性永不)。 ## Demo $ knowlp_search "RAG architecture" 1. [HIT] RAG检索架构.md (score 0.77) 2. [LINK] 向量数据库选型.md (score 0.61) ← 前置依赖链 3. [LINK] 检索评估踩坑记录.md (score 0.42) 4. [LINK] _索引-阅读顺序 (depth 1) ← 告诉你从哪里读起 5. [LINK] _索引-相关概念.md (depth 2) ## 本地开发 bash git clone https://github.com/wly8691-jpg/knowlp-rag.git cd knowlp-rag pip install -e . # 生成 knowlp-mcp / knowlp-build / knowlp-search # config.yaml 里配 vault → 建图 → 检索 python build_graph.py python knowlp_search.py "RAG architecture" View Architecture DiagramNot by stars — picked by hand, one at a time.
A visual settings dashboard for DeepSeek Harness: every registered settings namespace — including third-party plugin ones the official UI never covers — rendered as editable, schema-driven forms. Early, but the right direction: stop hand-editing YAML.
A DIY trajectory visualizer for DeepSeek Harness: watch the agent’s plan and execution unfold as a graph instead of scrolling raw logs. Early, but it fills a real gap — understanding at a glance what the agent is doing.
Dispatch DSH work from Claude Code / Codex: spin up in-host DSH agent sessions with per-tier presets, watch native subagent progress, and borrow a multimodal bridge that lends the text-only harness vision and image generation. An orchestration plugin that turns DSH into a backend for other coding agents.