Ruflo Knowledge Graph
插件 已验证 活跃Knowledge graph construction — entity extraction, relation mapping, and pathfinder graph traversal
To enable developers to understand complex codebases by building and exploring navigable knowledge graphs of entities and their relationships.
功能
- Entity extraction from code and documentation
- Relation mapping (imports, extends, depends-on, calls)
- Knowledge graph construction in AgentDB
- Pathfinder graph traversal with scoring and pruning
- Semantic search across the graph
使用场景
- Understanding complex codebase structures
- Analyzing dependencies and impact of changes
- Discovering indirect relationships between code components
- Exploring code evolution and documentation links
非目标
- General-purpose code linting or formatting
- IDE-specific integrations beyond basic command execution
- Runtime debugging or performance profiling
安装
请先添加 Marketplace
/plugin marketplace add ruvnet/ruflo/plugin install ruflo-knowledge-graph@ruflo质量评分
已验证类似扩展
Context7 Plugin
100Upstash Context7 MCP 服务器，用于查找最新文档。直接从源代码存储库将特定版本的文档和代码示例拉取到您的 LLM 上下文中。
C4 Architecture
99Comprehensive C4 architecture documentation workflow with bottom-up code analysis, component synthesis, container mapping, and context diagram generation
Dimensional Analysis
99Annotates codebases with dimensional analysis comments documenting units, dimensions, and decimal scaling. Use when someone asks to annotate units in a codebase, perform a dimensional analysis, or find vulnerabilities in a DeFi protocol. Prevents dimensional mismatches and catches formula bugs early.
Cortex
99Persistent memory and cognitive profiling for Claude Code — thermodynamic memory with heat/decay, intent-aware retrieval, biological plasticity, codebase intelligence, and cognitive profiling. 47 MCP tools with enriched schemas. PostgreSQL + pgvector in CLI mode; automatic SQLite fallback in Cowork/sandboxed mode. Curated wiki (ADRs, specs, lessons) with audit-artefact filtering. Consolidate is set-based SQL batched — decay/plasticity/pruning run 100-500× faster on large stores. Workflow graph with caller-qualified CALLS chains rendering full method-to-method dependencies (native tree-sitter, no AP required). Side panel humanized for non-technical users. Ingests codebase analysis (ai-automatised-pipeline) and PRDs (prd-spec-generator) into wiki + memory + knowledge graph. Docker image available.