Agentic Context Management as a Lifecycle Architecture Problem

Agent failures often stem from unmanaged reasoning contexts, such as ballooning tool outputs and conversation histories, rather than reasoning deficits. The proposed approach moves beyond simple retrieval to active lifecycle management, including structured extraction and strategic forgetting to control token costs.