Why Your LLM Agent Forgot What It Did 5 Steps Ago

Modern Large Language Models (LLMs) suffer from "context rot," where they forget earlier steps in multi-step tasks despite having large context windows, leading to errors and crashes. This issue arises because LLMs underweight relevant information buried in massive data payloads, making standard solutions ineffective and costly.

To address this, the Infinite Context Engine (ICE) offers a virtual memory management system for LLMs, enabling efficient handling of contextual data without rewriting applications or risking security vulnerabilities.

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