🧠

Model

nodetool

Name: nodetool
Author: Nodetool Ai

by Nodetool Ai gh-model--nodetool-ai--nodetool

Nexus Index

46.6 Top 100%

S: Semantic 50

A: Authority 0

P: Popularity 61

R: Recency 100

Q: Quality 50

Tech Context

Vital Performance

0 DL / 30D

0.0%

Source →

Audited 46.6 FNI Score

Tiny - Params

- Context

0 Downloads

Restricted AGPL License

Model Information Summary
Entity Passport
Registry ID	gh-model--nodetool-ai--nodetool
License	AGPL-3.0
Provider	github

📜

Cite this model

Academic & Research Attribution

BibTeX

@misc{gh_model__nodetool_ai__nodetool,
  author = {Nodetool Ai},
  title = {nodetool Model},
  year = {2026},
  howpublished = {\url{https://github.com/nodetool-ai/nodetool}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}

APA Style

Nodetool Ai. (2026). nodetool [Model]. Free2AITools. https://github.com/nodetool-ai/nodetool

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🐙 Git Clone

git clone https://github.com/nodetool-ai/nodetool

⚖️ Nexus Index V2.0

Methodology Index Protocol

46.6

TOP 100% SYSTEM IMPACT

Semantic (S) 50

Authority (A) 0

Popularity (P) 61

Recency (R) 100

Quality (Q) 50

💬 Index Insight

FNI V2.0 for nodetool: Semantic (S:50), Authority (A:0), Popularity (P:61), Recency (R:100), Quality (Q:50).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit

Unbiased Data Node Refresh: VFS Live

---

🚀 What's Next?

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See how this model ranks on standard tests

⚡

Technical Deep Dive

NodeTool: Visual Builder for AI Workflows and Agents

AI belongs on your machine, next to your data. Not behind a paywall. Not in someone else's cloud.

NodeTool is an open-source visual platform for building AI workflows. Connect LLMs, generate media, build agents, and process data through a drag-and-drop node interface — locally or in the cloud.

NodeTool Interface

Key Features


Visual workflow builder	Drag-and-drop nodes with type-safe connections — no code required
Local-first AI	Run models on your machine via Ollama, MLX (Apple Silicon), and GGUF/GGML
500,000+ models	Access HuggingFace's full model library for any ML task
Cloud APIs	OpenAI, Anthropic, Gemini, Replicate, Fal, MiniMax, Kie, OpenRouter
AI agents	Build LLM agents with 100+ built-in tools and secure code execution
Multimodal	Process and generate text, images, video, and audio in one workflow
Real-time streaming	Async execution with live output previews
Deploy anywhere	Docker, RunPod, Google Cloud Run, or self-hosted
Extend with code	Build custom nodes in Python or TypeScript
Cross-platform	Desktop (Electron), web, CLI, and mobile (React Native)

What You Can Build

LLM agents with tool use, planning, and multi-step reasoning
Creative pipelines for image, video, and audio generation
RAG systems with vector search and document processing
Data transformation workflows with batch processing
Mini-Apps — share workflows as interactive web applications
Automation pipelines combining local AI with cloud services

Cloud Models

Access the latest generative AI models through simple nodes:

Type	Models
Video	OpenAI Sora 2 Pro, Google Veo 3.1, xAI Grok Imagine, Alibaba Wan 2.6, MiniMax Hailuo 2.3, Kling 2.6
Image	Black Forest Labs FLUX.2, Google Nano Banana Pro, DALL-E 3
Audio	OpenAI Whisper, OpenAI TTS, ElevenLabs
Text	GPT-4, Claude, Gemini, Llama, Mistral (local or cloud)

Use TextToVideo, ImageToVideo, or TextToImage nodes and select your provider and model.

Some models need direct API keys. Others work through kie.ai, which combines multiple providers and often has better prices.

How NodeTool Compares

	NodeTool	ComfyUI	n8n
Focus	General AI workflows + agents	Media generation	Business automation
Local LLMs	Ollama, MLX, GGUF	Limited	No
AI Agents	Built-in with 100+ tools	No	Basic
RAG / Vector DB	Native support	No	Via plugins
Streaming	Real-time async	Queue-based	Webhook-based
Multimodal	Text, image, video, audio	Image, video	Text-focused
Code execution	Sandboxed (Docker)	No	Limited

Download

Platform	Get It	Requirements
Windows	Download	NVIDIA GPU recommended, 4GB+ VRAM (local AI), 20GB space
macOS	Download	M1+ Apple Silicon, 16GB+ RAM (local AI)
Linux	Download	NVIDIA GPU recommended, 4GB+ VRAM (local AI)

Flatpak CI Builds are also available for Linux.

Cloud-only usage requires no GPU — just use API services.

Documentation

Getting Started — Build your first workflow
Node Packs — Available operations and integrations
Custom Nodes — Extend NodeTool
Deployment — Share your work
API Reference — Programmatic access

Architecture

NodeTool is a monorepo with a TypeScript backend, React frontend, Electron desktop shell, and React Native mobile app.

text

nodetool/
├── packages/          # Backend monorepo (28 packages)
│   ├── kernel/        #   DAG orchestration & workflow runner
│   ├── node-sdk/      #   BaseNode class & node registry
│   ├── base-nodes/    #   100+ built-in node types
│   ├── agents/        #   Agent system with task planning & tools
│   ├── runtime/       #   Processing context & LLM providers
│   ├── websocket/     #   HTTP + WebSocket server (entry point)
│   ├── vectorstore/   #   SQLite-vec vector database
│   ├── code-runners/  #   Sandboxed code execution
│   └── ...            #   Protocol, config, auth, storage, deploy, etc.
├── web/               # React frontend (Vite + MUI + React Flow)
├── electron/          # Electron desktop app
├── mobile/            # React Native mobile app (Expo)
└── docs/              # Jekyll documentation site

For a detailed architecture overview, see ARCHITECTURE.md.

Development Setup

Prerequisites: Node.js 24.x, npm. Python 3.11 with conda for Python nodes (optional).

Node 24 is required. Electron 39 embeds Node 24 — native modules must match. Use nvm use to activate the correct version (reads .nvmrc).

Quick Start

bash

nvm use                    # Activate Node 24 (reads .nvmrc)
npm install
npm run build:packages     # Build all TS packages in dependency order

# Run backend (port 7777) and frontend (port 3000)
# Uses tsx --watch for the backend, so startup skips a full websocket package rebuild.
npm run dev

Python Nodes (optional)

Python nodes (HuggingFace, MLX, Apple integrations) run via the PythonStdioBridge, which spawns a Python worker process that communicates over stdin/stdout. The bridge connects lazily on the first workflow that uses Python nodes — no separate setup is needed for the TypeScript backend.

Electron App

bash

npm run electron

The Electron app auto-detects your active Conda environment. Settings are stored in:

Linux/macOS: ~/.config/nodetool/settings.yaml
Windows: %APPDATA%\nodetool\settings.yaml

Mobile App

bash

cd mobile && npm install && npm start

See mobile/README.md for full setup.

Make Commands

Command	Description
`npm install`	Install all dependencies
`npm run build`	Build all packages + web
`npm run dev`	Start backend (`tsx --watch`) + web dev server
`npm run electron`	Build and start Electron app
`npm run check`	Run typecheck + lint + test
`npm run test`	Run all tests

Testing

bash

# Unit tests
cd electron && npm test && npm run lint
cd web && npm test && npm run lint

# Web E2E (needs backend on port 7777)
cd web && npx playwright install chromium && npm run test:e2e

# Electron E2E (requires xvfb on Linux headless)
cd electron && npm run vite:build && npx tsc
cd electron && npx playwright install chromium && npm run test:e2e

For detailed testing documentation, see web/TESTING.md.

Contributing

We welcome bug reports, feature requests, code contributions, and new node creation.

Please open an issue before starting major work so we can coordinate.

License

AGPL-3.0

Get in Touch

General: hello@nodetool.ai
Team: matti@nodetool.ai, david@nodetool.ai

GitHub | Discord | Website

Star History

🚀 Quick Start

bash

nvm use                    # Activate Node 24 (reads .nvmrc)
npm install
npm run build:packages     # Build all TS packages in dependency order

# Run backend (port 7777) and frontend (port 3000)
# Uses tsx --watch for the backend, so startup skips a full websocket package rebuild.
npm run dev

⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

View Original Source →

📝 Limitations & Considerations

• Benchmark scores may vary based on evaluation methodology and hardware configuration.
• VRAM requirements are estimates; actual usage depends on quantization and batch size.
• FNI scores are relative rankings and may change as new models are added.
⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

GitHub Repository

303Stars

Repo Issues

🐙 Data Source: GitHub ↗

🔄 Daily sync (03:00 UTC)

AI Summary: Based on GitHub metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id: gh-model--nodetool-ai--nodetool
slug: nodetool-ai--nodetool
source: github
author: Nodetool Ai
license: AGPL-3.0
tags: ai, anthropic, comfyui, huggingface, llm, openai, stable-diffusion, agents, automation, flux, gemma3, gpt-oss, llamacpp, local-first, mlx, ollama, qwen-image, qwen3, typescript

⚙️ Technical Specs

architecture: null
params billions: null
context length: null
pipeline tag: text-generation

📊 Engagement & Metrics

downloads: 0
stars: 303
forks: 0

Data indexed from public sources. Updated daily.

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Cite this model

🔬Technical Deep Dive

Quick Commands

⚖️ Nexus Index V2.0

💬 Index Insight

Verification Authority

🚀 What's Next?

Find Training Datasets

Compare Benchmarks

Deployment Guide

Technical Deep Dive

NodeTool: Visual Builder for AI Workflows and Agents

Key Features

What You Can Build

Cloud Models

How NodeTool Compares

Download

Documentation

Architecture

Development Setup

Quick Start

Python Nodes (optional)

Electron App

Mobile App

Make Commands

Testing

Contributing

License

Get in Touch

Star History

🚀 Quick Start

⚠️ Incomplete Data

📝 Limitations & Considerations

Social Proof

🛡️ Model Transparency Report

🆔 Identity & Source

⚙️ Technical Specs

📊 Engagement & Metrics