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SheetCompass: Hierarchical Relation Graphs for Agentic Spreadsheet Reasoning

SheetCompass keeps spreadsheet structure as a hierarchical relation graph instead of flattening cells into text. Its agent memory retains task-relevant context across sheets, tables, and columns.

arXiv
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Source Summary

SheetCompass models workbook relationships within and across worksheets using **hierarchical relation graphs**. A memory-driven agent retains task-relevant information while reasoning over cross-table associations, column dependencies, and spatial layouts.

Practical Implication

For spreadsheet agents, preserve sheet boundaries and explicit structural links in the context representation. Treat the workbook as a connected data structure, then keep only task-relevant findings in agent memory as work progresses.

Agent-Ready Context
SheetCompass models workbook relationships within and across worksheets using **hierarchical relation graphs**. A memory-driven agent retains task-relevant information while reasoning over cross-table associations, column dependencies, and spatial layouts.

For spreadsheet agents, preserve sheet boundaries and explicit structural links in the context representation. Treat the workbook as a connected data structure, then keep only task-relevant findings in agent memory as work progresses.

The supplied material describes the framework but gives **no benchmark results** or implementation details. It therefore supports the representation choice, not a measured claim that the approach outperforms existing spreadsheet agents.
Context Map
contextdata#context-engineering#agent-memory#retrieval
Uncertainty
The supplied material describes the framework but gives **no benchmark results** or implementation details. It therefore supports the representation choice, not a measured claim that the approach outperforms existing spreadsheet agents.