Machine Learning Mastery Blog
5/28/2026

Building a Context Pruning Pipeline for Long-Running Agents
Short summary
Covers memory management strategies for continuous AI agents using context pruning. Relevant for product teams building long-running LLM systems at scale.
- •Context pruning reduces token overhead in long-running agents
- •Essential for continuous deployment and cost management
- •Technical pattern for maintaining agent performance over time
Generated with AI, which can make mistakes.
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