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Mnemex

cluster_memories

Group similar memories to identify duplicates and consolidate redundant information using semantic similarity analysis.

Instructions

Cluster similar memories for potential consolidation or find duplicates. Groups similar memories based on semantic similarity (if embeddings are enabled) or other strategies. Useful for identifying redundant memories. Args: strategy: Clustering strategy (default: "similarity"). threshold: Similarity threshold for linking (uses config default). max_cluster_size: Maximum memories per cluster (uses config default). find_duplicates: Find likely duplicate pairs instead of clustering. duplicate_threshold: Similarity threshold for duplicates (uses config default). Returns: List of clusters or duplicate pairs with scores and suggested actions.

Input Schema

NameRequiredDescriptionDefault
duplicate_thresholdNo
find_duplicatesNo
max_cluster_sizeNo
strategyNosimilarity
thresholdNo

Input Schema (JSON Schema)

{ "properties": { "duplicate_threshold": { "anyOf": [ { "type": "number" }, { "type": "null" } ], "default": null, "title": "Duplicate Threshold" }, "find_duplicates": { "default": false, "title": "Find Duplicates", "type": "boolean" }, "max_cluster_size": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "title": "Max Cluster Size" }, "strategy": { "default": "similarity", "title": "Strategy", "type": "string" }, "threshold": { "anyOf": [ { "type": "number" }, { "type": "null" } ], "default": null, "title": "Threshold" } }, "type": "object" }

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