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Polygres
Turn your entire database into a context window for AI
Polygres turns Postgres into working memory for AI agents. Retrieve structured rows, connected relationships, semantic matches, and full-text results through one hybrid API. All without a separate vector store, graph database, or sync pipeline. Build grounded agents over the data you already have, with relational, graph, and vector context joined at the source. Use the managed cloud or self-host with our open source components. Polygres is currently free to use, just sign up!
Hey Product Hunt 👋
We built Polygres because AI agents have a context problem.
Most teams solve this by adding more infrastructure: a vector database, a graph database, a search service, sync pipelines, and custom retrieval code to hold everything together.
We wanted a simpler model: What if the database itself became the agent’s context window? What if we could deploy graphRAG with one click?
You can use Polygres as a managed platform or work with the open-source SDK and your existing Postgres schema.
We’d especially love feedback from people building agents, copilots, memory systems, and AI-native products. Thanks for checking out Polygres. We’ll be here throughout the launch answering questions and learning from the community.
— Dale, Dalton & Damien
About Polygres on Product Hunt
“Turn your entire database into a context window for AI”
Polygres was submitted on Product Hunt and earned 58 upvotes and 29 comments, placing #13 on the daily leaderboard. Polygres turns Postgres into working memory for AI agents. Retrieve structured rows, connected relationships, semantic matches, and full-text results through one hybrid API. All without a separate vector store, graph database, or sync pipeline. Build grounded agents over the data you already have, with relational, graph, and vector context joined at the source. Use the managed cloud or self-host with our open source components. Polygres is currently free to use, just sign up!
On the analytics side, Polygres competes within Open Source, Developer Tools, GitHub and Database — topics that collectively have 629.7k followers on Product Hunt. The dashboard above tracks how Polygres performed against the three products that launched closest to it on the same day.
Who hunted Polygres?
Polygres was hunted by Dale Everett. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Polygres including community comment highlights and product details, visit the product overview.
Dale Everett