复制下面这句话,粘贴给 Claude Code、Codex、Cursor 等 AI 编程工具,它会读取安装说明并在你确认后完成安装。
请阅读 https://ai.atlankj.com/install/asset/gh-ruflo-6d24666c9d38 ,按照其中的说明把「kg」安装到你(当前 AI 工具)中。执行前先告诉我将运行的命令和写入的位置,等我确认。
查看 AI 将读取的安装说明正在读取 GitHub 原文…
内容来自 GitHub 原始文件,由原作者维护。在 GitHub 查看
Knowledge graph commands:
kg extract <path> -- Extract entities and relations from source files at the given path.
<path> recursively for classes, functions, modules, types, and config referencesmcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-store in the knowledge-graph namespacemcp__plugin_ruflo-core_ruflo__agentdb_causal-edge for each relationkg traverse <entity> -- Pathfinder traversal starting from the named entity.
mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-recallrelevance = edge_weight * semantic_similarity(query, node)kg relations <entity> -- List all direct relations for the named entity.
<entity>kg visualize -- Generate an ASCII visualization of the knowledge graph.
knowledge-graph namespacekg search <query> -- Semantic search across the knowledge graph.
mcp__plugin_ruflo-core_ruflo__agentdb_pattern-search (the semanticRouter controller is enabled: false in current AgentDB builds — pattern-search is the available substitute; see ruvnet/ruflo#2049)mcp__plugin_ruflo-core_ruflo__embeddings_generate + manual cosine for higher-fidelity semantic similarity if needed)