Developer introduces HyperMarrow, a local memory layer to prevent AI agent amnesia

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A recent critique described context-window compaction in AI agents as causing memory loss. The author argues this is an inherent design feature, not a bug, as the system must discard data when its token limit is reached. In response, they developed HyperMarrow, a Windows-based local storage layer that preserves agent memory outside the volatile context window. This system creates durable records with provenance, preventing data loss during compaction. The design aims to ensure agents maintain consistent beliefs and memory across sessions.

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