Rivet

Categories: Coding & Developer Tools, Automation / Agents, Research | Pricing: Free | Official Website ↗

Rivet is an open-source visual programming environment for building, debugging, and collaborating on AI agents with Large Language Models (LLMs).

Rivet provides a visual interface to design and iterate on complex LLM prompt graphs, enabling teams to effectively build and deploy AI agents. It allows for real-time debugging of prompt chains in applications and facilitates collaboration through YAML-based graph versioning. Built and used by Ironclad, Rivet helps overcome challenges in programmatic AI agent development.

Key Features

Visual programming environment for LLM prompt graphs
Real-time remote debugging of prompt chains
Collaboration via YAML-based graph versioning
Open-source and deployable in own environment
Integration with Node/TypeScript applications

Pros

Simplifies complex AI agent development with visual tools
Enhances debugging capabilities for LLM workflows
Facilitates team collaboration on prompt graphs
Open-source nature allows for customization and self-hosting

Cons

Requires technical understanding for integration and deployment
Learning curve for new users unfamiliar with visual programming
Primarily focused on LLM agents, less on other AI models

Use Cases

Developing virtual assistants and chatbots
Building AI agents for contract review and analysis
Creating AI-powered content generation workflows
Experimenting with and refining LLM agentic logic

Best For

AI developers and engineers building LLM-powered applications
Teams collaborating on complex prompt engineering
Researchers and product managers prototyping AI experiences
Organizations needing to debug and deploy AI agents in production

Integrations: Node.js, TypeScript, AssemblyAI

Platforms: Web, Desktop

Watch demo on YouTube ↗

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