ww-consolidate

Memory consolidation optimizes stored knowledge by orchestrating clustering, decay, and pruning to improve retrieval efficiency. It applies light consolidation workflows to update stability scores and prune weak relationships for faster search.

Memory consolidation organizes and optimizes stored memories by strengthening links and extracting entities. Run it when encountering large numbers of new episodes, slow memory search performance, or when initiating manual knowledge-graph maintenance.

Trigger light consolidation for fast stability score updates and weak link pruning, or run full consolidation for thorough processing including entity extraction, pattern discovery, and relationship normalization across the knowledge graph.

Memory consolidation integrates with MCP tooling to report metrics and outcomes. Preprocessing checks ensure functional requirements are met before light or full workflows execute clustering, decay, and extraction operations.

Large numbers of new episodes introduce unprocessed nodes and weak links into the knowledge graph. Memory consolidation addresses this by applying stability decay, clustering, and pruning to normalize relationships and restore retrieval efficiency.

Full memory consolidation workflows reinforce the knowledge graph through entity extraction and pattern discovery. This thorough processing updates stability scores, normalizes relationships, and prunes weak links alongside extraction operations.