Context Window Management for Long-Running Agents: Strategies and Tradeoffs

The article discusses five strategies for managing context windows in long-running AI agent applications. These strategies include sliding windows, recursive summarization, structured state management, ephemeral context via RAG, and dynamic context routing. Each approach has its tradeoffs, such as memory loss, information compression, retrieval blind spots, and maintenance complexity.

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