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Astra's context handling is absolutely trash😭
A user building agents on GPT finds Astra highly capable but criticizes its memory handling. While Astra performs well mid-session, agents begin losing context after 15-20 turns, even within the same session. The user resorted to integrating third-party memory SDKs for entity resolution and typed extraction, arguing that such additional infrastructure shouldn't be necessary for Astra-based agents to retain user data.
This user report is one of the first to detail specific context-loss thresholds for Astra, noting issues after 15-20 turns within a single session, unlike general complaints about memory.
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收录当时偏移:UTC+02026年9月26日 23:00 UTC
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- 2026年9月26日 23:00
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