Your Agent Doesn't Have a Reasoning Problem, It Has a Memory Problem
Multi-agent systems fail not from poor reasoning but from memory architecture flaws, as demonstrated by a 77% failure rate in an adversarial game where an agent with 95% reasoning accuracy lost due to stale state poisoning. Four failure modes—stale memory, retrieval failure, memory overload, and decay—show that context windows become liabilities when agents cannot distinguish relevant signals from noise or handle state changes. The core insight is that production agents need memory systems with temporal weighting, relevance scoring, and explicit invalidation of stale observations to survive adversarial environments.
