Rivet — Visual AI Prompt Workflow IDE

What is Rivet?

Rivet is a visual IDE for designing, debugging, and testing AI prompt chains. Instead of writing prompt code, you build workflows by connecting nodes — LLM calls, conditionals, loops, data transforms, and subgraphs — with a real-time execution preview that shows intermediate results at every step.

Answer-Ready: Rivet is a visual IDE for AI prompt chain development by Ironclad. Build, debug, and test LLM workflows with drag-and-drop nodes, real-time execution preview, and team collaboration. Open-source with 3k+ GitHub stars.

Best for: Teams designing complex AI prompt chains who need visual debugging. Works with: OpenAI, Anthropic, Google, any OpenAI-compatible API. Setup time: Under 5 minutes.

Core Features

1. Visual Node Editor

[User Input] → [Chat Node (Claude)] → [If/Else] → [Output A]
                                            ↓
                                        [Output B]

Node types:

• Chat: LLM call with model selection
• Text: Static or template text
• If/Else: Conditional branching
• Loop: Iterate over arrays
• Code: Custom JavaScript
• Subgraph: Reusable sub-workflows
• Extract: Parse JSON/regex from LLM output

2. Real-Time Debugging

Click "Run" and see results at every node:

Node 1 (Input): "Summarize this article about AI"
Node 2 (Chat):  "This article discusses three key trends..."
Node 3 (If):    condition=true → taking branch A
Node 4 (Output): "Summary: This article discusses..."

3. Prompt Versioning

• Save graph versions with descriptions
• Compare outputs between versions
• Roll back to any previous version

4. Team Collaboration

• Share graphs as .rivet-project files
• Export as TypeScript for production integration
• Git-friendly project format

5. TypeScript Integration

import { runGraph } from '@ironclad/rivet-node';

const outputs = await runGraph(project, {
  graph: 'main',
  inputs: { userMessage: 'Hello!' },
  context: {},
  openAiKey: process.env.OPENAI_API_KEY,
});

console.log(outputs.response);

6. Built-In Nodes

Use Cases

FAQ

Q: Is Rivet free? A: Yes, open-source under MIT license. Desktop app is free.

Q: Can I use it with Claude? A: Yes, Anthropic Claude is fully supported as a chat node provider.

Q: How does it compare to Langflow? A: Rivet focuses on prompt design and debugging with fine-grained node control. Langflow is more about assembling LangChain components.