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Agentic Context Management: Solving Agent Memory and Cost by Treating Them as Lifecycle and Architecture Problems

20 upvotes · 23 JUL 2026 · Gaurav Dadhich

This paper proposes a new approach to managing the context of AI agents, which is crucial for their performance in production environments. By actively managing what an agent holds in mind, the agent can avoid accumulating unnecessary information and reduce costs, leading to improved accuracy and efficiency.

agent memory managementcontext architecturecontinual learningtoken efficiencymulti-tenant services