crystal_recall
Recall proven patterns relevant to a free-text query. Use for decisions, design choices, or questions where prior graduated wisdom may apply. Returns scored patterns with zero noise.
Instructions
Recall crystallized patterns relevant to a free-text query — the on-demand graduated tier (AM-CRYSTAL). Crystallized patterns are proven-and-stable wisdom that graduated OUT of the always-loaded working set into a retrievable store, so a large body of wisdom stays effective without clogging context. Call this when a decision, design choice, or question touches a topic where prior graduated wisdom might apply — recall surfaces the relevant patterns on cue (pair it with crystal_index, the always-on menu of what exists). Associative by default: a pattern grounded in an episode your query matched surfaces even with zero keyword overlap (the Hebbian backend). Returns scored patterns (name, level, activation, explanation, tags); precision-biased — a thin query or no match returns none, by design (surface nothing rather than noise).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | The free-text query (a prompt, a decision surface, a topic) to find relevant crystallized patterns for. | |
| max_patterns | No | Maximum patterns to surface (precision cap). Default 3. | |
| associative | No | When true (default), augment keyword recall with the Hebbian backend — patterns whose evidence cites an episode your query matched surface even with zero keyword overlap. Set false for pure keyword scoring (the pre-0.8.0 path). |