Rivet — Build and Debug AI Agent Workflows

Rivet is a visual programming environment for building and debugging complex AI agent workflows for developers.

Rivet is a sophisticated visual programming environment and IDE designed for building, debugging, and managing complex AI agentic workflows. Business owners and technical teams use this platform to orchestrate Large Language Models into functional applications without writing boilerplate code. By using a node-based interface, Rivet allows users to visualize the logic flow of their AI agents and see exactly how data moves between different prompts and models. The platform provides a collaborative workspace where developers and product managers can test agent behaviors in real-time. Rivet includes advanced debugging tools that trace the execution of every node, making it easier to identify where a logic chain might be failing. This transparency is vital for companies deploying AI into production environments where reliability is a priority. You can find more details about its enterprise capabilities and technical specifications on surfai.app in our 2026 directory. In a business context, Rivet is ideal for creating automated customer support systems, internal knowledge retrieval bots, and complex data extraction pipelines. It supports versioning and remote execution, allowing teams to deploy their visual graphs directly into their existing software infrastructure via a TypeScript SDK. The tool simplifies the integration of various LLM providers, enabling businesses to switch models or compare outputs instantly. Rivet is an open-source tool provided by Ironclad, making it accessible for teams starting their AI journey or those requiring a highly customizable development environment. This allows for rapid prototyping and deployment of agentic AI without significant upfront software costs.

• Pricing: freemium

Specifications

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