save-memory
Store content in a vector database for semantic search and retrieval using natural language queries. Save text with unique identifiers to enable similarity-based information lookup.
Instructions
Save content to vector database
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| content | Yes | The content to store | |
| parentPath | No | Path of the parent content (if applicable) | |
| path | Yes | Unique identifier path for the content | |
| source | No | Source of the content | |
| type | No | Content type (e.g., 'markdown') |
Input Schema (JSON Schema)
{
"properties": {
"content": {
"description": "The content to store",
"type": "string"
},
"parentPath": {
"description": "Path of the parent content (if applicable)",
"type": "string"
},
"path": {
"description": "Unique identifier path for the content",
"type": "string"
},
"source": {
"description": "Source of the content",
"type": "string"
},
"type": {
"description": "Content type (e.g., 'markdown')",
"type": "string"
}
},
"required": [
"content",
"path"
],
"type": "object"
}