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Agentic Context Management Paper Proposes Five Primitives

Published: Source: X: Elvis Saravia (@omarsar0, DAIR.AI)

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The paper points out that production-level AI agent failures stem more from context management than reasoning ability, and proposes five primitives: architecture, ingestion, scoping, prediction, and compression. Its reference implementation achieves 92% and 93.2% accuracy on LongMemEval and LoCoMo benchmarks respectively, with fidelity-verified compression retaining key information at linear cost.

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