Implementing Dynamic Memory Decay and Summarization Strategies for Long-Term Agent Context Retention
As Large Language Models (LLMs) become the backbone of autonomous agents, one of the most persistent engineering challenges is managing the context window. While modern models support increasingly larger contexts, simply feeding an ever-growing history into the prompt is computationally expensive...