NodeBuilder

Beautifully designed, copy and paste LangGraph nodes and workflows into your project.

Installation

pip install nodebuilder

Usage

The easiest way to get started is to add a node to your project.

nodebuilder add summarizer

This will add the summarizer node to your project. You can then import and use it in your code.

from nodes.summarizer.node import SummarizerNode

# Use the node
summarizer = SummarizerNode()
result = summarizer.run("Your text to summarize here")

Add nodes from GitHub

You can also add nodes from any GitHub repository.

nodebuilder add "owner/repo node-name"

For example:

nodebuilder add "aryan/nodebuilder summarizer"
nodebuilder add "langchain-ai/langgraph-nodes translator"

Compose workflows

Create workflows by chaining multiple nodes together.

nodebuilder compose my-workflow summarizer translator

This creates a workflow that first summarizes text, then translates it.

Available nodes

• summarizer - Truncates text to 200 characters (demo summarizer)
• translator - Translates text to target language

Philosophy

• Copy, don't install - Copy the source code into your project
• Own your code - You own and control the code
• Framework ready - Works seamlessly with LangGraph
• AI friendly - Export tools for AI agents

Commands

Add nodes

nodebuilder add <node-name>                    # Add from bundled templates
nodebuilder add "owner/repo node-name"         # Add from GitHub repository

Compose workflows

nodebuilder compose <workflow-name> <nodes...>  # Create workflow from nodes
nodebuilder suggest                             # Get workflow suggestions

Utilities

nodebuilder list                               # List available nodes and workflows
nodebuilder export-mcp                         # Export tools for AI agents