{
  "id": "memory-vector",
  "name": "Vector Memory",
  "version": "1.0.0",
  "description": "In-memory vector store for conversation memory with TF-IDF bag-of-words embeddings and cosine similarity search.",
  "author": "StateSet",
  "license": "MIT",
  "entry": "index.js",
  "kind": "memory",
  "channels": [],
  "provides": ["commands", "hooks", "services"],
  "enabledByDefault": false,
  "configSchema": {
    "type": "object",
    "properties": {
      "maxMemories": { "type": "number", "minimum": 1, "maximum": 100000 },
      "maxAgeMs": { "type": "number", "minimum": 60000 },
      "topK": { "type": "number", "minimum": 1, "maximum": 50 },
      "pruneIntervalMs": { "type": "number", "minimum": 10000 }
    }
  },
  "configDefaults": {
    "maxMemories": 1000,
    "maxAgeMs": 604800000,
    "topK": 5,
    "pruneIntervalMs": 3600000
  },
  "configHints": [
    { "field": "maxMemories", "label": "Max Memories", "help": "Maximum number of memories to store.", "inputType": "number" },
    { "field": "maxAgeMs", "label": "Max Age (ms)", "help": "Memories older than this are pruned. Default: 7 days.", "inputType": "number", "advanced": true },
    { "field": "topK", "label": "Top K Results", "help": "Number of relevant memories to inject.", "inputType": "number" },
    { "field": "pruneIntervalMs", "label": "Prune Interval (ms)", "help": "Background pruning interval.", "inputType": "number", "advanced": true }
  ]
}