Recall Memories
recallRetrieve relevant past lessons and decisions for a task using semantic search. Use when unsure how to proceed, instead of 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 |