Recall Memories
recallRetrieve relevant past lessons, decisions, and rules for any task using semantic search. Use when unsure how the user wants something done to avoid guessing.
Instructions
Surface the most relevant past lessons, decisions, and rules for a task, ranked by semantic similarity.
Returns {count, memories:[{id, scope, score, text}]}, where score is rerank confidence (higher = more relevant).
Use at the start of a task or whenever unsure how the user wants something done, instead of guessing. Read-only — to save a new memory use note.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| k | No | Maximum number of memories to return (1-20). Defaults to 5. | |
| query | Yes | Natural-language description of the task or question to find lessons for, e.g. 'how does the user want commit messages formatted'. | |
| scope | No | Optional domain filter, e.g. 'rust', 'python', 'universal'. Omit to search every scope. |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| count | Yes | ||
| memories | Yes |