AI Context Window Overflow: Memory Pointer Fix

Context window overflow occurs when an AI agent's tool outputs exceed the token limit the large language model (LLM) can process at once. The agent doesn't crash; it silently truncates data, loses earlier context, or produces incomplete results. This post shows how the Memory Pointer Pattern fixes it: from single-agent to multi-agent coordination where 145KB of data never enters any LLM context. This demo uses Strands Agents. The Memory Pointer Pattern is framework-agnostic and can be applied w...