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AI Fusion Summary

Developers building with agent memory often encounter critical issues regarding data portability. Problems typically arise during incidents, such as framework breaking changes or embedding model deprecations. When attempting to transfer ninety days of context or retrieve user-specific beliefs, developers frequently find fragmented data. This includes vectors keyed to obsolete model versions, raw JSON dumps of turns, and extraction rules embedded within prompts, proving that agent memory is generally not portable across different systems.
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