Agentes de IA
agents
Build AI agents in a no-code visual builder or TypeScript SDK, fully synced.
★ 1,4k estrellasCustom
Ver la guía →rivet es un proyecto de agentes de IA de código abierto de Ironclad (Ironclad/rivet en GitHub). Tiene 4.699 estrellas en GitHub y 387 bifurcaciones, se publica bajo la licencia MIT y se actualizó por última vez en GitHub el 26 de agosto de 2026.
Rivet is Ironclad's visual IDE and TypeScript library for building complex AI agents and prompt chains
Use the desktop IDE to design graphs visually, or embed Rivet Core in a TypeScript app — most people start with the IDE.
Download a prebuilt binary for your OS, or add the npm packages to your project.
Add your OpenAI or Anthropic API keys (and Pinecone if you use vector features) in the app settings or your code.
Chain prompts and nodes in the IDE, test the graph, then run it from your application with Rivet Core.
A desktop application for creating complex AI agents and prompt chains as editable graphs.
A TypeScript library for running Rivet graphs in your own applications, with two-way calls between your code and graphs.
Support for OpenAI GPT-3.5/GPT-4 and Anthropic Claude Instant, Claude 2, and Claude 3 Haiku, Sonnet, and Opus.
OpenAI Embeddings with Pinecone for retrieval-style graph features.
AssemblyAI LeMUR for voice data and AssemblyAI speech-to-text integrations.
Prebuilt downloads for macOS, Linux (AppImage), and Windows from the releases page.
Clone the project and enter its directory (source builds follow CONTRIBUTING.md).
git clone https://github.com/Ironclad/rivet.git
cd rivetFor embedding graphs in your own TypeScript app, install Rivet Core from npm.
npm install @ironclad/rivet-coreDownload the desktop app from the releases page to design a graph, then execute it from Node with Rivet Core/Node as documented on the Rivet site.
# design in the Rivet app, run via @ironclad/rivet-node — see rivet.ironcladapp.com docsIronclad, the contract-management company, maintains Rivet and its documentation at rivet.ironcladapp.com.
Yes, the application and libraries are MIT-licensed. You pay for your own LLM and Pinecone usage through your provider accounts.
Yes — graphs call models through your own OpenAI or Anthropic keys (and Pinecone/AssemblyAI keys if you use those integrations).
Rivet's center of gravity is its visual IDE plus a first-class TypeScript runtime for the same graphs, rather than a code-first framework or a purely hosted flow builder.
Download the prebuilt app for your OS from the releases page, add an API key, and build your first graph — or `npm install @ironclad/rivet-core` to embed graphs in code.
Build AI agents in a no-code visual builder or TypeScript SDK, fully synced.
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Test your agents against prompt-injection attacks.
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Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.