Memory in Context Engineering

Most agent failures aren’t model failures - they’re memory failures. Hallucinations, task drift, irrelevant responses, and runaway token costs often stem from one root cause: poorly designed memory architecture. Memory Architecture is a foundational concept of Agentic AI, allowing the systems to retain context, learn from past experiences, and make informed decisions over time. Take the example of…