Unverified50% confidenceFactExact time
AIClaw resets the previous input reading after a successful compaction.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/14/2026
First Seen
Valid until: 1/12/2027
Sources
Related Entities
Related Claims
UnverifiedMainstream AI agents replace original conversations with summaries through summarization/compaction when the context approaches the window limit, with Claude Code, Codex, and others triggering compaction at 75% of the window.64% similarUnverifiedWriting AI output into a separate new field rather than overwriting the original field is the 'non-destructive write' principle in data pipelines, which preserves traceability and supports rollback.63% similarUnverifiedIn this project, the number of times context was re-read (cache reads) was approximately 14 times the number of initial writes (inputs).59% similarUnverifiedMethods for dealing with AI memory loss include proactive forgetting (starting a new conversation), summary prefixing (compressing into a summary), and precise referencing (using @files instead of pasting entire blocks of code).59% similarUnverifiedThe role of IDL Compaction is to proactively compress conversation history before the cache expires, for example by summarizing lengthy intermediate turns or discarding low-information content, thereby reducing the token volume of subsequent requests, but it may also introduce information loss.57% similar
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