Expired50% confidenceFactExact time
Codex has a built-in automatic compression feature for historical context that controls token consumption through summarization and importance filtering, allowing continuous conversation within the same session window for weeks.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/14/2026
First Seen
Valid until: 10/12/2026(expired)
Sources
OpenAI Codex完全指南：AI智能体编程与自动化实战
Related Claims
UnverifiedCodex now supports automatic session compression, which uses a summarization algorithm to distill conversation history into key information, freeing up window space without losing core context.85% similarUnverifiedCodex uses a 'sliding window + summary compression' strategy to condense earlier conversation content into brief summaries, controlling actual token count per turn.81% similarUnverifiedCodex has a built-in automatic compression mechanism that automatically organizes long conversations into concise summaries to free up space when the context is nearly full.80% similarUnverifiedThe new version of Codex has optimized the memory feature, compressing sessions more thoroughly rather than simply reusing threads to carry over existing conversations76% similarUnverifiedWhen the context is full, Codex automatically compresses and clears unimportant information to continue working.71% similar
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