Visual drag-and-drop programming environment for AI agent workflows; also a TypeScript library
Key Features
Multi-Agent
Single Agent
Human-in-the-Loop
Streaming
Async Support
Type Safe
Short-Term Memory
Long-Term Memory
Shared Memory
Plugin System
Custom Tools
MCP Protocol
A2A Protocol
Code Execution
Web Browsing
File System Access
Sandboxing
Guardrails
Structured Output
DAG Workflows
Visual Builder
CLI
API Server
Self-Hosted
Cloud Hosted
Community Feedback
Strengths
- Best-in-class visual AI builder
- Superior UI with logic and flow control nodes
- Subgraph reusability
- Real-time debugging
- Model-agnostic
Weaknesses
- Desktop app only (no cloud collaboration)
- Smaller community
- Requires understanding graph programming concepts
Rivet Details
| Organization | Ironclad |
| Organization Type | Company |
| Funding | Series b+ |
| Category | Framework |
| Subcategory | Orchestration |
| Deployment | Self-Hosted |
| Primary Language | TypeScript |
| Runtime | Node.js 18+ |
| License | MIT |
| Commercial Use | Unrestricted |
| GitHub Stars | 4,516 |
| GitHub Forks | 366 |
| Release Cadence | Monthly |
| Maturity | Stable |
| Pricing Model | Free |
| Free Tier | Fully free and open-source (MIT) |
| Self-Hosted Free | Yes |
| Cost Model | free + LLM costs |
| Community Size | Small (4.5k stars) |
| Community Activity | Active |
| Sentiment | Positive |
| GPU Required | No |
| Confidence | High |
| Research Date | 2026-03-24 |
| LLM Providers | OpenAI, Anthropic, Google Gemini, HuggingFace |
| API Keys Required | LLM provider API key |
Use Cases
- Visual AI workflow design and prototyping
- Graph-based agent pipeline development
- Production AI workflows via TypeScript library
- Real-time AI workflow debugging
Similar Tools
When to Use
Best for: Visual AI workflow design with fine-grained logic control
Avoid when: Need cloud-based collaborative editing or simpler drag-and-drop
Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260324