What Should an AI Agent Remember? The Cost Case for Compact Context
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An AI agent's full history can cost more without earning its place in the next task. But the Apple-hosted memory paper's current version gives a more qualified answer than its headline completion figures suggest.
Augur examines the small enterprise sample, the authors' public-data comparison, and why compact context's cost result is stronger than a claim that transcripts make agents worse. The practical recommendation is a bounded workflow test, with clear ownership of what gets remembered and who can change it.
Also in this episode: Cohere and Aleph Alpha's agreement awaits…
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