# Rivet — Visual AI Prompt Workflow IDE

> Visual IDE for designing and debugging AI prompt chains. Drag-and-drop nodes for LLM calls, conditionals, loops, and data transforms with real-time execution preview.

## Install

Paste the prompt below into your AI tool:

## Quick Use

1. Download from [rivet.ironcladapp.com](https://rivet.ironcladapp.com)
2. Open the app and create a new project
3. Drag a "Chat" node onto the canvas and connect to "Text" output
4. Click "Run" to execute

## 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

```typescript
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

| Category | Nodes |
|----------|-------|
| AI | Chat, Text Completion, Embeddings |
| Logic | If/Else, Switch, Loop, Match |
| Data | JSON Parse, Regex, Split, Join |
| I/O | User Input, HTTP Request, Read File |
| Flow | Subgraph, Delay, Race, Parallel |

## Use Cases

| Use Case | How |
|----------|-----|
| Prompt chaining | Multi-step LLM workflows |
| A/B testing | Compare prompt variants visually |
| Guardrails | Add validation nodes between LLM calls |
| RAG prototyping | Build retrieval + generation pipelines |
| Team review | Share visual graphs for prompt review |

## 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.

## Source & Thanks

> Created by [Ironclad](https://github.com/Ironclad). Licensed under MIT.
>
> [Ironclad/rivet](https://github.com/Ironclad/rivet) — 3k+ stars

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## Quick Start

Download from [rivet.ironcladapp.com](https://rivet.ironcladapp.com) and drag-and-drop nodes to build AI prompt chains.

## What is Rivet?

Rivet is a visual AI prompt chain IDE. Drag-and-drop nodes to build LLM workflows and view real-time execution results at every step.

**In one sentence**: Visual AI prompt chain IDE — drag-and-drop nodes to build and debug LLM workflows with live execution preview — 3k+ GitHub stars.

**For**: Teams designing complex AI prompt chains that need visual debugging.

## Core Features

### 1. Visual Node Editor
Chat, conditional, loop, code, subgraph, and other node types.

### 2. Live Debugging
Intermediate results of every node are visible in real time.

### 3. Version Control
Save, compare, and roll back graph versions.

### 4. TypeScript Integration
Export as code for production use.

## FAQ

**Q: Is it free?**
A: Open source and free under MIT.

**Q: Does it support Claude?**
A: Yes — Anthropic Claude is available as a Chat node provider.

## Source & Thanks

> [Ironclad/rivet](https://github.com/Ironclad/rivet) — 3k+ stars, MIT

---
Source: https://tokrepo.com/en/workflows/rivet-visual-ai-prompt-workflow-ide-9202a5c4
Author: Script Depot