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Agent Context Window Management: Practical Patterns
Practical strategies for managing context windows in long-running AI agents. Covers O(1) growth patterns, hierarchical delegation, phase-based compression checkpointing, and semantic deduplication to keep agents coherent over extended tasks without hitting token limits.
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O(1) Context Growth Patterns for Long-Running Agents
Agent Context Window Management: Practical Patterns# O(1) Context Growth Patterns for Long-Running Agents Managing context windows is critical for long-running AI agents. The key insight is designing patterns that achieve **O(1) context growth** rather than O(n) linear growth as tasks progress. ## Core Patterns ### 1. Structured JSON State Object
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