Hyperterse

Hyperterse is an open-source infrastructure that acts as a bridge between your production databases and AI agents. It's designed to be an interface for both early prototypes and more complex multi-agent systems, meaning you don't have to change your existing database setup.

Benefits

Hyperterse simplifies how you connect your databases to AI. It lets you define how data should be accessed just once, and the system takes care of running the queries, checking the information, and making it available. It's built to work with AI agents, offering tools that agents can use without revealing sensitive details like your SQL code, database structure, or passwords. You get ready-to-use APIs automatically, which include clear instructions for how to use them. Hyperterse also serves as a central place for information, creating all necessary documentation and tools from a single configuration file. Security is a core feature, keeping your database information safe. It works with different databases like PostgreSQL, MySQL, and Redis using a single, consistent way to connect. This allows for quicker development and immediate feedback.

Use Cases

Instead of spending weeks building custom API endpoints, writing validation code, creating documentation, and setting up AI tools manually, Hyperterse can get you started in minutes. You simply define your database queries in a configuration file. Hyperterse then automatically creates the necessary endpoints, validates inputs, and generates documentation for AI integration. It's useful for AI and LLM applications, acting as an API gateway, building microservices, and for quickly creating prototypes.

Pricing

Hyperterse is free and open source. You can host it yourself at no cost. Enterprise support is also available.

Vibes

Hyperterse transforms database queries into RESTful API endpoints and tools that AI assistants can use. Users define queries in a configuration file, and Hyperterse automatically generates individual endpoints with full documentation, input validation, and AI integration capabilities. It's a configuration-driven system that eliminates the need for writing boilerplate code or setting up complex structures.

Additional Information

Hyperterse supports multiple databases including PostgreSQL, MySQL, and Redis. It automatically generates OpenAPI 3.0 specifications and markdown documentation for LLM integration. It also supports generating agent skills archives, all kept in sync with your configuration. It is not an ORM; it allows you to write raw SQL queries directly, focusing on execution and API exposure.