Remember
rememberStore user preferences, coding standards, and project details persistently to recall them in future conversations. Automatically detects memory scope (user or workspace) and language specificity from context.
Instructions
Store user information persistently for future conversations. When users share preferences, coding standards, project details, or any context they want remembered, use this tool. Extract the key information from natural language and store it appropriately. The system automatically detects scope (user/workspace) and language specificity from context. For ambiguous cases, you will receive clarification prompts to ask the user. Examples of what to remember: coding preferences ('I like detailed docstrings'), project specifics ('This app uses PostgreSQL'), language standards ('For Python, use type hints'), workflow preferences ('Always run tests before committing'). Use only the memory_item parameter with natural language - the system handles scope detection.
Tool call template
Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.
{
"id": 1,
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"arguments": {
"memory_item": "<memory_item>"
},
"name": "remember"
}
}Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| memory_item | Yes | The information to remember | |
| scope | No | Memory scope: 'user' (default) or 'workspace' | user |
| language | No |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |