Ironclad/rivet

Health v2 · maintenance only

Adoption not part of the score

4680 stars · 387 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Rivet is an open-source visual AI programming environment consisting of a desktop IDE for building AI agents and prompt chains via a node-based graph editor, plus a TypeScript library (Rivet Core/Node) for executing those graphs in applications. It supports OpenAI, Anthropic, and AssemblyAI models, with vector database integrations like Pinecone.

Use cases

• build ai agents visually without writing code
• design and debug complex llm prompt chains
• embed ai agent graphs into a node.js application
• collaborate on prompt graphs with version control
• remotely debug llm workflows running in production
• prototype and a/b test prompts with variations
• build rag pipelines with embeddings and vector databases

When to choose

• you want a visual, node-based IDE for designing LLM agent workflows
• your team needs to collaborate on and version prompt graphs as YAML files
• you want to run designed graphs programmatically in a TypeScript/Node.js app
• you need real-time debugging of AI agent execution

When to avoid

• you only need simple single-prompt LLM calls from code
• your stack is not TypeScript/Node.js for runtime integration
• you need models or providers not supported by Rivet
• you prefer writing agent logic directly in code rather than graphs

Facets

application · maturity active

agent-framework prompt-engineering llm-inference rag machine-learning developer-tools sdk artificial-intelligence large-language-models developer-tools windows cross-platform visual-programming node-based-editor prompt-chaining llm-ide graph-execution openai anthropic ai-agents natural-language-processing macos linux nodejs typescript desktop

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markdown · JSON · MCP: product_card(name="Ironclad/rivet")