PostgresFS vs. SQL skills: should AI agents fake a filesystem?

The experimental comparison between PostgresFS, a Postgres-backed filesystem abstraction, and SQL skills in AI agents revealed that while PostgresFS was competitive in simple read tasks, SQL skills proved superior in overall accuracy and efficiency. The study highlighted the importance of locality, as SQL skills allowed data to be materialized locally, enabling agents to use standard Bash tools without repeated database interactions. This resulted in improved performance in complex tasks requiring iterative analysis. The research concluded that while both approaches have their merits, the SQL skill approach offers better composability and speed, reducing the need for maintaining a complex filesystem abstraction. The findings suggest that agents benefit from using a database's native query language and local Bash tools, avoiding the maintenance and performance costs associated with creating a filesystem-like interface.

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