
Rivet
Open-source visual AI programming environment from Ironclad for building complex AI agents and prompt chains using node-based drag-and-drop interface with real-time debugging capabilities.
About this tool
Overview
Rivet is an open-source visual programming environment for building AI agents with LLMs. Developed by Ironclad, it's a desktop application for creating complex AI agents and prompt chaining with visual workflows.
Key Features
- Visual Node-Based Interface: Drag-and-drop canvas for building AI workflows by connecting nodes
- Real-Time Debugging: View input/output of every node and AI responses in real-time
- Open Source: Available on GitHub with both desktop application and TypeScript libraries
- Integration: Can be embedded in applications for bidirectional communication between Rivet and application code
- Export to Code: Prototype visually, then export to TypeScript for production
How It Works
Create complex AI agent chains and prompt chains by connecting nodes visually. The node-based editor enables configuration and debugging of AI workflows without extensive coding.
Real-World Usage
Ironclad uses Rivet to power their own Contract AI assistant. Adopted by companies including:
- Willow Servicing (mortgage servicing platform)
- Attentive
- Sourcegraph
Use Cases
- Rapid prototyping of AI agents
- Visual debugging of prompt chains
- Building conversational AI systems
- Creating multi-step reasoning workflows
- Team collaboration on AI development
Target Audience
Designed for teams looking to rapidly prototype, debug, and collaborate on AI agents without writing extensive code, while maintaining ability to export for production deployment.
Pricing
Free and open-source.
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