Rivet
Open-source visual programming environment for building AI agents with LLMs
What is Rivet? Complete Overview
Rivet is a visual programming environment designed for building AI agents using large language models (LLMs). It enables teams to effectively design, debug, and collaborate on complex LLM prompt graphs, which can then be deployed in their own applications. Developed by Ironclad, Rivet solves the pain points of building AI agents programmatically by providing a visual interface, easy debugging tools, and remote execution capabilities. The target audience includes AI developers, data scientists, and engineering teams working on AI-powered applications who need to create, test, and deploy complex LLM workflows efficiently.
Rivet Interface & Screenshots
Rivet Official screenshot of the tool interface
What Can Rivet Do? Key Features
Visual Programming Environment
Rivet provides a visual interface for building complex chains of LLM prompts, making it easier to design AI agents without writing extensive code. The drag-and-drop interface allows users to create sophisticated workflows for production applications, not just prototypes.
Real-time Debugging
With Rivet's debugging tools, users can observe the execution of prompt chains in real-time within their applications. This feature provides visibility into what's happening under the hood, helping developers identify and fix issues quickly.
Collaboration Tools
Rivet graphs are stored as YAML files, making them easy to version control in team repositories. This enables seamless collaboration through existing code review tools and workflows, allowing teams to work together on complex AI agent development.
Remote Execution
Rivet allows users to run and test their prompt graphs directly within their applications, providing a smooth transition from development to deployment. This feature helps teams validate their AI agents in real-world scenarios.
Integration Capabilities
Rivet can be easily integrated into Node.js or TypeScript applications, providing flexibility in how teams implement their AI solutions. The platform also supports connections with various APIs and services for enhanced functionality.
Best Rivet Use Cases & Applications
Contract Analysis AI
Legal teams can use Rivet to build AI agents that analyze contracts, answer questions about obligations, and assist with contract lifecycle management. Ironclad's Contract AI, built with Rivet, demonstrates this capability.
Virtual Assistants
Companies can develop sophisticated virtual assistants that handle complex customer interactions by chaining multiple LLM prompts and API calls using Rivet's visual programming environment.
Financial Services Automation
Financial institutions can create AI agents to handle mortgage servicing queries, loan processing, and other financial services tasks with the ability to debug and refine the agent's behavior.
How to Use Rivet: Step-by-Step Guide
Download and install Rivet from the official website or GitHub releases page. The application is available for multiple platforms and can be set up quickly.
Follow the Getting Started guide to learn how to build AI agent graphs in Rivet. The guide provides step-by-step instructions for creating your first workflow.
Experiment with the example application included with Rivet to understand the development and debugging process for chat applications and other AI workflows.
Integrate Rivet into your Node.js or TypeScript application using the provided libraries and documentation to deploy your AI agents.
Debug and refine your prompt graphs using Rivet's visual debugging tools, then deploy the final version to production.
Rivet Pros and Cons: Honest Review
Pros
Considerations
Is Rivet Worth It? FAQ & Reviews
Yes, Rivet is an open-source project available for free under the MIT license. You can download and use it without any cost.
Rivet primarily integrates with Node.js and TypeScript applications, though the visual programming environment itself doesn't require coding knowledge for basic usage.
Yes, Rivet's open-source license allows for both personal and commercial use. You can build and deploy AI agents for commercial applications.
Rivet specializes in AI, LLM, and visual programming capabilities, positioning it across Developer Tools and AI Development categories. This combination makes it particularly effective for users seeking comprehensive developer tools solutions.
Rivet is designed for users working in developer tools with additional applications in ai development and natural language processing. It's particularly valuable for professionals and teams who need reliable AI and LLM capabilities.
Rivet graphs are stored as YAML files, making them compatible with standard version control systems like Git. Teams can collaborate using their existing code review workflows.
Support is available through community channels like GitHub and Discord. The project also includes comprehensive documentation to help users get started.