Rivet is a visual programming environment designed to streamline the creation of AI agents using Large Language Models (LLMs). It empowers teams to collaboratively build, debug, and iterate on complex prompt graphs within a user-friendly, node-based interface. Unlike traditional code-heavy methods, Rivet allows users to visualize the flow of data and observe the execution of AI chains in real-time, making it significantly easier to understand and troubleshoot agentic logic. The tool generates project files in YAML format, which can be versioned and reviewed like code, making it production-ready, not just suitable for prototyping.
Rivet offers a suite of features, including a prompt designer, A/B testing capabilities, integrated testing, and remote debugging, ensuring the robust integration of its generated outputs into existing applications. It is distributed as a desktop application for MacOS, Linux and Windows, and provides a TypeScript library for developers to execute Rivet graphs in Node.js environments. This makes Rivet an ideal solution for teams seeking to quickly build and deploy reliable AI applications.