Polygres is an innovative developer tool designed to transform your standard Postgres database into working memory for AI agents. By utilizing a single hybrid API, it allows developers to retrieve structured rows, connected relationships, semantic matches, and full-text results seamlessly.

The core advantage of Polygres is its ability to bypass the need for a separate vector store, graph database, or complex data synchronization pipeline. By joining relational, graph, and vector context directly at the source, developers can build thoroughly grounded AI agents using the data they already possess. Polygres offers flexibility through a managed cloud option as well as self-hosting capabilities via its open-source components.

Pros of Polygres

Combines relational, graph, and vector context at the source
Eliminates the need for separate vector stores or graph databases
Removes the requirement for complex data sync pipelines
Available as a managed cloud service or open-source for self-hosting

Cons of Polygres

Specifically tied to Postgres databases
Requires signup and configuration to get started

Frequently Asked Questions

What is Polygres?

Polygres is a developer tool and database extension that turns Postgres into working memory for AI agents, allowing you to retrieve structured rows, relationships, semantic matches, and full-text results through a single hybrid API.

Do I need a separate vector store or graph database to use Polygres?

No. Polygres joins relational, graph, and vector context directly at the source, removing the need for a separate vector store, graph database, or sync pipeline.