skills/memory-graph-optimization.json


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{
  "name": "memory-graph-optimization",
  "description": "Procedures for pruning and optimizing the MemoryGraphModule to prevent cognitive drift.",
  "tags": [],
  "category": "general",
  "created": "2026-06-06T02:32:54.007Z",
  "updated": "2026-06-06T02:32:54.007Z",
  "content": "---\nname: memory-graph-optimization\ndescription: Procedures for pruning and optimizing the MemoryGraphModule to prevent cognitive drift.\ntags: memory, graph, optimization\n---\n\n# Memory Graph Optimization\n\n## Objective\nMaintain the health of the `MemoryGraphModule` by removing redundant edges and pruning stale nodes to ensure fast semantic retrieval.\n\n## Workflow\n1. **Analyze Density**: Check node-to-edge ratio via system status.\n2. **Identify Stale Nodes**: Locate nodes with zero incoming edges and timestamps older than 7 days.\n3. **Prune Redundancy**: Merge duplicate conceptual nodes into a single master node.\n4. **Re-index**: Trigger a graph rebuild to optimize traversal paths.\n\n## Module Integration\n- Primary: `MemoryGraphModule`\n- Support: `NeuralVFSModule` (for semantic mapping)\n"
}