Rivet

Overview

Rivet is a visual programming environment designed for building AI agents with large language models (LLMs). It provides teams with tools to design, debug, and collaborate on complex LLM prompt graphs, which can then be deployed directly into applications. The platform targets developers and AI teams who need to iterate on prompts and manage sophisticated AI workflows without extensive coding.

Key Features

• Visual Prompt Graph Editor - Drag-and-drop interface for designing and iterating on LLM prompt chains and workflows
• Debugging Tools - Built-in debugging capabilities to test and troubleshoot prompt graphs during development
• Collaboration Features - Team-based tools for multiple users to work on prompt graphs simultaneously
• Direct Deployment - Run prompt graphs directly in applications without additional compilation or conversion steps
• LLM Integration - Native support for connecting to various large language models and AI services
• Prompt Iteration - Streamlined workflow for testing and refining prompts before production deployment

Pricing

Platforms & Requirements

Rivet is a web-based application accessible through modern browsers. It requires internet connectivity to access the platform and deploy prompt graphs to connected applications. No specific minimum system requirements are documented beyond standard web browser capabilities.

Integrations & Ecosystem

• LLM APIs
• Custom application deployment
• Prompt graph export

Alternatives

Reputation

Rivet is positioned as a specialized tool for teams building AI agents, offering a visual alternative to code-based LLM frameworks. The platform appeals to developers seeking faster iteration cycles and non-technical team members who need to participate in prompt engineering. Limited public reviews are available, though the tool addresses a growing market need for accessible LLM workflow management. Adoption appears concentrated among teams already invested in visual development paradigms.