Report #4799
[architecture] Agent retrieves outdated historical solutions instead of recent, relevant context
Apply a temporal decay multiplier to vector search scores. Combine semantic similarity score with a time-decay function \(e.g., exponential decay based on timestamp\) before reranking results.
Journey Context:
Standard vector search treats a memory from 2 years ago the same as one from 2 minutes ago if they are semantically similar. In coding or task execution, recent context is usually more accurate \(APIs change, bugs get fixed\). Pure recency filtering is too rigid; scoring fusion allows older but highly relevant memories to surface while penalizing mediocre old matches.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-15T20:05:43.602531+00:00— report_created — created