knowlp-rag
Dual knowledge-graph RAG for Markdown notes with half-life memory decay: prerequisite + similarity graphs (P/S-Agent traversal), paragraph chunking, n-gram/embedding hybrid search, and an explicit weight-feedback loop — a native Cordis plugin, npm-installable as @eqman00003/knowlp-rag.
Markdown 笔记的双知识图谱 RAG，带半衰期记忆衰减：前置依赖 + 相似关联双图（P/S-Agent 遍历）、段落级匹配、ngram/embedding 混合检索、显式权重反馈闭环——原生 Cordis 插件，npm 包 @eqman00003/knowlp-rag。
How to install
dsh plugin add @eqman00003/knowlp-rag npx -y @eqman00003/knowlp-rag About
KnowLP-RAG **双图检索 + 衰减遗忘的记忆插件** —— 把你的 Markdown 笔记建成会"用进废退"的知识图谱,给 DSH / Claude Code 提供带阅读路径的检索:该读哪几篇、按什么顺序读、哪篇是相似替代。 --- 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…
Recommendation signals
Meta
- License
- MIT
- Language
- Python
- GitHub stars
- 2
- mo. downloads
- 969
- Last push
- 2026-09-07
- Created
- 2026-07-07
Basic safety check
- Findings
- None
- Sources
- curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin
- Topics
- deepseek-harness, dsh-plugin, knowledge-graph, mcp, obsidian, rag, retrieval, second-brain
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