Report #1527
[architecture] Retrieved historical context overrides the explicit current prompt, causing the agent to repeat past mistakes or ignore new instructions
Apply a recency bias weighting in retrieval, and explicitly prompt the agent to prioritize current user instructions over retrieved memory when they conflict. Use a scratchpad isolation pattern where retrieved context is evaluated for relevance before injection into the main reasoning chain.
Journey Context:
LLMs are highly susceptible to anchoring on whatever is in the context window. If a vector search pulls in a past failure, the agent might assume it should fail again. People think more context is always better, but irrelevant context acts as an adversarial prompt. The tradeoff is completeness vs. distraction. The fix ensures the agent's current goal dictates the memory usage, not the other way around.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-15T01:32:07.640003+00:00— report_created — created