KG Extract

Extract entities (classes, functions, modules, types, concepts) and their relations (imports, extends, implements, depends-on, calls) from source files, then store them as a knowledge graph in AgentDB.

When to use

When you need to build or update a knowledge graph from source code or documentation. Useful for understanding codebase structure, dependency analysis, and impact assessment.

Steps

1. Scan files -- use Glob and Read to enumerate and read source files at the given path
2. Identify entities -- extract classes, functions, modules, types, and config references from each file
3. Map relations -- for each entity, determine its relations to other entities:
   • imports: follow import/require statements
   • extends: class inheritance
   • implements: interface implementations
   • depends-on: constructor dependencies, injected services
   • calls: function/method invocations
   • references: documentation mentions, comments
4. Store in AgentDB -- call mcp__claude-flow__agentdb_hierarchical-store for each entity with metadata (name, type, file, line, description)
5. Create edges -- call mcp__claude-flow__agentdb_causal-edge for each relation with source, target, relation type, and weight
6. Report -- summarize: total entities by type, total relations by type, files scanned

CLI alternative

npx @claude-flow/cli@latest memory store --namespace knowledge-graph --key "entity-NAME" --value "METADATA_JSON"
npx @claude-flow/cli@latest memory search --query "entities in auth module" --namespace knowledge-graph