Recall
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Recall is how you fetch relevant memory context for a given task.
Neocortex ranks candidate memories using:
semantic relevance to the query
recency/decay behavior
interaction reinforcement signals
The output can include both structured chunks and an LLM-ready context string.
Most applications recall with a query such as:
"What dietary restrictions does the user have?"
"Summarize prior project decisions"
This keeps retrieval dynamic and task-specific.
Always scope recall to the namespace most relevant to the current task. This reduces noise and improves answer quality.
For implementation examples in all supported languages, see Recalling Memories.
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