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Nodetool

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viralcode
nodetool

Visual AI workflow builder - ComfyUI meets n8n for LLM agents, RAG pipelines, and multimodal data flows. Local-first, open source (AGPL-3.0).

Overview

Publisherviralcode
Repositoryopenwhale
Skill namenodetool
Stars
65
Forks
11
Bundled files
2
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by viralcode on GitHub. Read the source before you install it.

Installation

Install the Nodetool AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/viralcode/openwhale.git /tmp/openwhale
mkdir -p .claude/skills
cp -r /tmp/openwhale/skills/nodetool .claude/skills/nodetool
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nodetool in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Nodetool on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Nodetool is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

NodeTool

Visual AI workflow builder combining ComfyUI's node-based flexibility with n8n's automation power. Build LLM agents, RAG pipelines, and multimodal data flows on your local machine.

Quick Start

bash
# See system info
nodetool info

# List workflows
nodetool workflows list

# Run a workflow interactively
nodetool run <workflow_id>

# Start of chat interface
nodetool chat

# Start of web server
nodetool serve

Installation

Linux / macOS

Quick one-line installation:

bash
curl -fsSL https://raw.githubusercontent.com/nodetool-ai/nodetool/refs/heads/main/install.sh | bash

With custom directory:

bash
curl -fsSL https://raw.githubusercontent.com/nodetool-ai/nodetool/refs/heads/main/install.sh | bash --prefix ~/.nodetool

Non-interactive mode (automatic, no prompts):

Both scripts support silent installation:

bash
# Linux/macOS - use -y
curl -fsSL https://raw.githubusercontent.com/nodetool-ai/nodetool/refs/heads/main/install.sh | bash -y

# Windows - use -Yes
irm https://raw.githubusercontent.com/nodetool-ai/nodetool/refs/heads/main/install.ps1 | iex; .\install.ps1 -Yes

What happens with non-interactive mode:

  • All confirmation prompts are skipped automatically
  • Installation proceeds without requiring user input
  • Perfect for CI/CD pipelines or automated setups

Windows

Quick one-line installation:

powershell
irm https://raw.githubusercontent.com/nodetool-ai/nodetool/refs/heads/main/install.ps1 | iex

With custom directory:

powershell
.\install.ps1 -Prefix "C:\nodetool"

Non-interactive mode:

powershell
.\install.ps1 -Yes

Core Commands

Workflows

Manage and execute NodeTool workflows:

bash
# List all workflows (user + example)
nodetool workflows list

# Get details for a specific workflow
nodetool workflows get <workflow_id>

# Run workflow by ID
nodetool run <workflow_id>

# Run workflow from file
nodetool run workflow.json

# Run with JSONL output (for automation)
nodetool run <workflow_id> --jsonl

Run Options

Execute workflows in different modes:

bash
# Interactive mode (default) - pretty output
nodetool run workflow_abc123

# JSONL mode - streaming JSON for subprocess use
nodetool run workflow_abc123 --jsonl

# Stdin mode - pipe RunJobRequest JSON
echo '{"workflow_id":"abc","user_id":"1","auth_token":"token","params":{}}' | nodetool run --stdin --jsonl

# With custom user ID
nodetool run workflow_abc123 --user-id "custom_user_id"

# With auth token
nodetool run workflow_abc123 --auth-token "my_auth_token"

Assets

Manage workflow assets (nodes, models, files):

bash
# List all assets
nodetool assets list

# Get asset details
nodetool assets get <asset_id>

Packages

Manage NodeTool packages (export workflows, generate docs):

bash
# List packages
nodetool package list

# Generate documentation
nodetool package docs

# Generate node documentation
nodetool package node-docs

# Generate workflow documentation (Jekyll)
nodetool package workflow-docs

# Scan directory for nodes and create package
nodetool package scan

# Initialize new package project
nodetool package init

Jobs

Manage background job executions:

bash
# List jobs for a user
nodetool jobs list

# Get job details
nodetool jobs get <job_id>

# Get job logs
nodetool jobs logs <job_id>

# Start background job for workflow
nodetool jobs start <workflow_id>

Deployment

Deploy NodeTool to cloud platforms (RunPod, GCP, Docker):

bash
# Initialize deployment.yaml
nodetool deploy init

# List deployments
nodetool deploy list

# Add new deployment
nodetool deploy add

# Apply deployment configuration
nodetool deploy apply

# Check deployment status
nodetool deploy status <deployment_name>

# View deployment logs
nodetool deploy logs <deployment_name>

# Destroy deployment
nodetool deploy destroy <deployment_name>

# Manage collections on deployed instance
nodetool deploy collections

# Manage database on deployed instance
nodetool deploy database

# Manage workflows on deployed instance
nodetool deploy workflows

# See what changes will be made
nodetool deploy plan

Model Management

Discover and manage AI models (HuggingFace, Ollama):

bash
# List cached HuggingFace models by type
nodetool model list-hf <hf_type>

# List all HuggingFace cache entries
nodetool model list-hf-all

# List supported HF types
nodetool model hf-types

# Inspect HuggingFace cache
nodetool model hf-cache

# Scan cache for info
nodetool admin scan-cache

Admin

Maintain model caches and clean up:

bash
# Calculate total cache size
nodetool admin cache-size

# Delete HuggingFace model from cache
nodetool admin delete-hf <model_name>

# Download HuggingFace models with progress
nodetool admin download-hf <model_name>

# Download Ollama models
nodetool admin download-ollama <model_name>

Chat & Server

Interactive chat and web interface:

bash
# Start CLI chat
nodetool chat

# Start chat server (WebSocket + SSE)
nodetool chat-server

# Start FastAPI backend server
nodetool serve --host 0.0.0.0 --port 8000

# With static assets folder
nodetool serve --static-folder ./static --apps-folder ./apps

# Development mode with auto-reload
nodetool serve --reload

# Production mode
nodetool serve --production

Proxy

Start reverse proxy with HTTPS:

bash
# Start proxy server
nodetool proxy

# Check proxy status
nodetool proxy-status

# Validate proxy config
nodetool proxy-validate-config

# Run proxy daemon with ACME HTTP + HTTPS
nodetool proxy-daemon

Other Commands

bash
# View settings and secrets
nodetool settings show

# Generate custom HTML app for workflow
nodetool vibecoding

# Run workflow and export as Python DSL
nodetool dsl-export

# Export workflow as Gradio app
nodetool gradio-export

# Regenerate DSL
nodetool codegen

# Manage database migrations
nodetool migrations

# Synchronize database with remote
nodetool sync

Use Cases

Workflow Execution

Run a NodeTool workflow and get structured output:

bash
# Run workflow interactively
nodetool run my_workflow_id

# Run and stream JSONL output
nodetool run my_workflow_id --jsonl | jq -r '.[] | "\(.status) | \(.output)"'

Package Creation

Generate documentation for a custom package:

bash
# Scan for nodes and create package
nodetool package scan

# Generate complete documentation
nodetool package docs

Deployment

Deploy a NodeTool instance to the cloud:

bash
# Initialize deployment config
nodetool deploy init

# Add RunPod deployment
nodetool deploy add

# Deploy and start
nodetool deploy apply

Model Management

Check and manage cached AI models:

bash
# List all available models
nodetool model list-hf-all

# Inspect cache
nodetool model hf-cache

Installation

Linux / macOS

Quick one-line installation:

bash
curl -fsSL https://raw.githubusercontent.com/nodetool-ai/nodetool/refs/heads/main/install.sh | bash

With custom directory:

bash
curl -fsSL https://raw.githubusercontent.com/nodetool-ai/nodetool/refs/heads/main/install.sh | bash --prefix ~/.nodetool

Non-interactive mode (automatic, no prompts):

Both scripts support silent installation:

bash
# Linux/macOS - use -y
curl -fsSL https://raw.githubusercontent.com/nodetool-ai/nodetool/refs/heads/main/install.sh | bash -y

# Windows - use -Yes
irm https://raw.githubusercontent.com/nodetool-ai/nodetool/refs/heads/main/install.ps1 | iex; .\install.ps1 -Yes

What happens with non-interactive mode:

  • All confirmation prompts are skipped automatically
  • Installation proceeds without requiring user input
  • Perfect for CI/CD pipelines or automated setups

Windows

Quick one-line installation:

powershell
irm https://raw.githubusercontent.com/nodetool-ai/nodetool/refs/heads/main/install.ps1 | iex

With custom directory:

powershell
.\install.ps1 -Prefix "C:\nodetool"

Non-interactive mode:

powershell
.\install.ps1 -Yes

What Gets Installed

The installer sets up:

  • micromamba — Python package manager (conda replacement)
  • NodeTool environment — Conda env at ~/.nodetool/env
  • Python packages — nodetool-core, nodetool-base from NodeTool registry
  • Wrapper scripts — nodetool CLI available from any terminal

Environment Setup

After installation, these variables are automatically configured:

bash
# Conda environment
export MAMBA_ROOT_PREFIX="$HOME/.nodetool/micromamba"
export PATH="$HOME/.nodetool/env/bin:$HOME/.nodetool/env/Library/bin:$PATH"

# Model cache directories
export HF_HOME="$HOME/.nodetool/cache/huggingface"
export OLLAMA_MODELS="$HOME/.nodetool/cache/ollama"

System Info

Check NodeTool environment and installed packages:

bash
nodetool info

Output shows:

  • Version
  • Python version
  • Platform/Architecture
  • Installed AI packages (OpenAI, Anthropic, Google, HF, Ollama, fal-client)
  • Environment variables
  • API key status

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Nodetool AI skill do?

Visual AI workflow builder - ComfyUI meets n8n for LLM agents, RAG pipelines, and multimodal data flows. Local-first, open source (AGPL-3.0).

Why use Nodetool on TypingMind?

Because you install it once and use it with any model. Nodetool is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Nodetool in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/viralcode/openwhale/tree/main/skills/nodetool. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Nodetool?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Nodetool?

As many as you like. As long as a model supports skills, you can use Nodetool with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Nodetool AI skill free?

It is published on GitHub by viralcode. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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