[KongchangAI]
Product

HyperMarrow

A local-first memory layer for Windows AI agents that employs mechanisms such as a write-ahead log to provide persistent, traceable agent memory management, addressing the information loss caused by context window compression.

Timeline (last 90 days)

Oct 17

The author of HyperMarrow summarized that all failures in the six reports occurred at the moment records were created, not at retrieval time.

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Oct 12

HyperMarrow's modules include record, recall, consolidation, and file-bridge, exposed via the MCP protocol.

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Oct 12

The failure of agent memory is decided at write time, not at read time.

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Oct 12

The write-ahead log (WAL) rule requires that working context must not be summarized or discarded until a persistent copy exists and has been confirmed.

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Oct 12

Recall should return the original stored records rather than rewritten versions, and return hits together with their sources to enable cross-session continuity.

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Oct 12

HyperMarrow is a local-first memory layer for Windows agents.

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Oct 12

Provenance does not equal correctness; a record can carry an honest source yet still contain incorrect content, and storage itself does not indicate this.

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Oct 12

Agents with poor summarization ability or that write lossy records from the start will lose information before it enters storage, rendering these rules ineffective.

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Oct 12

The author explicitly discloses that they are the builder of HyperMarrow.

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Oct 12

The write-ahead rule incurs latency costs, because compression must wait for the persistent write to complete, which introduces noticeable latency on slow disks.

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All Facts (10)

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