
nodetool
Local-First Agent OS
Stars: 128

NodeTool is a platform designed for AI enthusiasts, developers, and creators, providing a visual interface to access a variety of AI tools and models. It simplifies access to advanced AI technologies, offering resources for content creation, data analysis, automation, and more. With features like a visual editor, seamless integration with leading AI platforms, model manager, and API integration, NodeTool caters to both newcomers and experienced users in the AI field.
README:
🎯 Privacy by design • 🔓 Own your stack • 🚀 Production ready
AI should be yours. Agents run locally, beside your data. They are transparent, portable, and under your control.
- Vision
- Mission
- How It Works
- Principles
- What NodeTool Is
- What NodeTool Is Not
- Who It’s For
- Roadmap
- Promise
- Quick Start
- Bring Your Own Providers
- Install Node Packs in the App
- Community
- 🛠️ Development Setup
- Run Backend & Web UI
- Testing
- Troubleshooting
- Contributing
- License
- Get in Touch
Get from idea to production in three simple steps:
- 🏗️ Build — Drag nodes to create your workflow—no coding required.
- ⚡ Run — Test locally. Your data stays on your machine by default.
- 🚀 Deploy — Ship with one command to RunPod or your own cloud.
- Local‑first. Always.
- No data leaves without consent.
- Open and portable.
- One graph. One runtime. Visual and headless share semantics.
- Typed tools. Small, composable, explicit I/O.
- Reproducible runs. Seeds and inputs captured.
- No black boxes. See every step while it runs.
- Fast on your hardware. Cloud only when you choose.
- Visual graph editor + runnable runtime (desktop + headless)
- Execute via CLI, API, WebSocket; graphs in JSON
- Local models (Ollama/HF) + optional cloud (OpenAI/Anthropic/Replicate)
- Deploy to laptop/server, Runpod, Google Cloud, AWS
- Managed SaaS, SLAs, multi‑tenant
- Compliance‑grade policy/audit
- Autoscaling orchestrator
- One‑click content toy
Indie hackers, Game devs, AI enthusiasts, creative professionals, agencies, and studios who want to build and run their own pipelines.
- Creative pipelines: templates for thumbnails, sprites, ad variants, research briefs.
- Timeline & Snapshots: run history, diffs, and easy rollback.
- Render Queue & A/B: batch runs and seeded comparisons.
- Packaging: one‑click bundles for sharing with collaborators/clients; community packs registry.
Open core. Local‑first. Own the runtime, the workflows, and the outputs.
Platform | Download | Requirements |
---|---|---|
Windows | Download Installer | Nvidia GPU recommended, 20GB free space |
macOS | Download Installer | M1+ Apple Silicon |
Linux | Download AppImage | Nvidia GPU recommended |
- Download and install NodeTool
- Launch the app
- Download models
- Start with a template or create from scratch
- Drag, connect, run—see results instantly
Connect to any AI provider. Your keys, your costs, your choice.
✅ Integrated Providers: OpenAI • Anthropic • Hugging Face • Groq • Together • Replicate • Cohere • + 8 more
Set provider API keys in Settings → Providers.
Text Generation
- Ollama all models
- Huggingface most transformers based models
- HuggingFace Hub all inference providers with thousands of models
- OpenAI all models
- Gemini all models
- Anthropic all models
- and many others
Text-to-Image
- Flux Dev, Flux Schnell (Huggingface, FAL, Replicate)
- Flux V 1 Pro (FAL, Replicate)
- Flux Subject (FAL)
- Flux Lora, Flux Lora TTI, Flux Lora Inpainting (FAL)
- Flux 360 (Replicate)
- Flux Black Light (Replicate)
- Flux Canny Dev/Pro (Replicate)
- Flux Cinestill (Replicate)
- Flux Depth Dev/Pro (Replicate)
- Flux Dev (Replicate)
- Flux Dev Lora (Replicate)
- Stable Diffusion XL (Huggingface, Replicate, Fal)
- Stable Diffusion XL Turbo (Replicate, Fal)
- Stable Diffusion Upscalersr (HuggingFace)
- AuraFlow v0.3, Bria V1/V1 Fast/V1 HD, Fast SDXL (FAL)
- Fast LCMDiffusion, Fast Lightning SDXL, Fast Turbo Diffusion (FAL)
- Hyper SDXL (FAL)
- Ideogram V 2, Ideogram V 2 Turbo (FAL)
- Illusion Diffusion (FAL)
- Kandinsky, Kandinsky 2.2 (Replicate)
- Zeroscope V 2 XL (Huggingface, Replicate)
- Ad Inpaint (Replicate)
- Consistent Character (Replicate)
Image Processing
- black-forest-labs/FLUX.1-Kontext-dev (nodetool-base)
- google/vit-base-patch16-224 (image classification, nodetool-base)
- openmmlab/upernet-convnext-small (image segmentation, nodetool-base)
- Diffusion Edge (edge detection, FAL)
- Bria Background Remove/Replace/Eraser/Expand/GenFill/ProductShot (FAL)
- Robust Video Matting (video background removal, Replicate)
- nlpconnect/vit-gpt2-image-captioning (image captioning, HuggingFace)
Audio Generation
- microsoft/speecht5_tts (TTS, nodetool-base)
- F5-TTS, E2-TTS (TTS, FAL)
- PlayAI Dialog TTS (dialog TTS, FAL)
- MMAudio V2 (music and audio generation, FAL)
- ElevenLabs TTS models (ElevenLabs)
- Stable Audio (text-to-audio, FAL & HuggingFace)
- AudioLDM, AudioLDM2 (text-to-audio, HuggingFace)
- DanceDiffusion (music generation, HuggingFace)
- MusicGen (music generation, Replicate)
- Music 01 (music generation with vocals, Replicate)
- facebook/musicgen-small/medium/large/melody (music generation, HuggingFace)
- facebook/musicgen-stereo-small/large (stereo music generation, HuggingFace)
Audio Processing
- Audio To Waveform (audio visualization, Replicate)
Video Generation
- Hotshot-XL (text-to-GIF, Replicate)
- HunyuanVideo, LTX-Video (text-to-video, Replicate)
- Kling Text To Video V 2, Kling Video V 2 (FAL)
- Pixverse Image To Video, Pixverse Text To Video, Pixverse Text To Video Fast (FAL)
- Wan Pro Image To Video, Wan Pro Text To Video (FAL)
- Wan V 2 1 13 BText To Video (FAL)
- Cog Video X (FAL)
- Haiper Image To Video (FAL)
- Wan 2 1 1 3 B (text-to-video, Replicate)
- Wan 2 1 I 2 V 480 p (image-to-video, Replicate)
- Video 01, Video 01 Live (video generation, Replicate)
- Ray (video interpolation, Replicate)
- Wan-AI/Wan2.2-I2V-A14B-Diffusers (image-to-video, HuggingFace)
- Wan-AI/Wan2.1-I2V-14B-480P-Diffusers (image-to-video, HuggingFace)
- Wan-AI/Wan2.1-I2V-14B-720P-Diffusers (image-to-video, HuggingFace)
- Wan-AI/Wan2.2-T2V-A14B-Diffusers (text-to-video, HuggingFace)
- Wan-AI/Wan2.1-T2V-14B-Diffusers (text-to-video, HuggingFace)
- Wan-AI/Wan2.2-TI2V-5B-Diffusers (text+image-to-video, HuggingFace)
Text Processing
- facebook/bart-large-cnn (summarization, nodetool-base)
- distilbert/distilbert-base-uncased-finetuned-sst-2-english (text classification, nodetool-base)
- google-t5/t5-base (text processing, nodetool-base)
- facebook/bart-large-mnli (zero-shot classification, HuggingFace)
- distilbert-base-uncased/cased-distilled-squad (question answering, HuggingFace)
Speech Recognition
- superb/hubert-base-superb-er (audio classification, nodetool-base)
- openai/whisper-large-v3 (speech recognition, nodetool-base)
- openai/whisper-large-v3-turbo/large-v2/medium/small (speech recognition, HuggingFace)
Install and manage packs directly from the desktop app.
- Open Package Manager: Launch the Electron desktop app, then open the Package Manager from the Tools menu.
- Browse and search packages: Use the top search box to filter by package name, description, or repo id.
- Search nodes across packs: Use the “Search nodes” field to find nodes by title, description, or type. You can install the required pack directly from node results.
Open source on GitHub. Star and contribute.
💬 Join Discord — Share workflows and get help from the community
🌟 Star on GitHub — Help others discover NodeTool
🚀 Contribute — Help shape the future of visual AI development
Follow these steps to set up a local development environment for the entire NodeTool platform, including the UI, backend services, and the core library (nodetool-core
). If you are primarily interested in contributing to the core library itself, please also refer to the nodetool-core repository for its specific development setup using Poetry.
- Python 3.11: Required for the backend.
- Conda: Download and install from miniconda.org.
- Node.js (Latest LTS): Required for the frontend. Download and install from nodejs.org.
# Create and activate the Conda environment
conda create -n nodetool python=3.11 -y
conda activate nodetool
# Install essential system dependencies via Conda
conda install -c conda-forge ffmpeg cairo x264 x265 aom libopus libvorbis lame pandoc uv -y
These are the essential packages to run NodeTool.
Make sure to activate the conda environment.
# Install nodetool-core and nodetool-base
# On macOS / Linux / Windows:
uv pip install git+https://github.com/nodetool-ai/nodetool-core
uv pip install git+https://github.com/nodetool-ai/nodetool-base
If you're working in this monorepo and want live-editable installs:
# From the repository root
conda activate nodetool
uv pip install -e ./nodetool-core
uv pip install -e ./nodetool-base
NodeTool's functionality is extended via packs. Install only the ones you need.
NOTE:
- Activate the conda environment first
- Use uv for faster installs.
Prefer the in‑app Package Manager for a guided experience. See Install Node Packs in the App. The commands below are for advanced/CI usage.
# List available packs (optional)
nodetool package list -a
# Example: Install packs for specific integrations
uv pip install git+https://github.com/nodetool-ai/nodetool-fal
uv pip install git+https://github.com/nodetool-ai/nodetool-replicate
uv pip install git+https://github.com/nodetool-ai/nodetool-elevenlabs
Note: Some packs like nodetool-huggingface
may require specific PyTorch versions or CUDA drivers.
Use --index-url
to install:
- Check your CUDA version:
nvidia-smi
- Install PyTorch with CUDA support first:
# For CUDA 11.8
uv pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
# For CUDA 12.1-12.3 (most common)
uv pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
# For CUDA 12.4+
uv pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu124
- Install GPU-dependent packs:
# Use --extra-index-url to access both PyPI and PyTorch packages
uv pip install --extra-index-url https://download.pytorch.org/whl/cu121 git+https://github.com/nodetool-ai/nodetool-huggingface
- Verify GPU support:
python -c "import torch; print(f'CUDA available: {torch.cuda.is_available()}')"
If you see "bitsandbytes compiled without GPU support", reinstall it:
uv pip uninstall bitsandbytes
uv pip install bitsandbytes
If PyTorch shows CPU-only version, make sure you used the correct url from step 2.
Use --extra-index-url (not --index-url) when installing from git repositories to avoid missing dependencies
Ensure the nodetool
Conda environment is active.
Option A: Run Backend with Web UI (for Development)
This command starts the backend server:
# On macOS / Linux / Windows:
nodetool serve --reload
Run frontend in web folder:
cd web
npm install
npm start
Access the UI in your browser at http://localhost:3000
.
Option B: Run with Electron App
This provides the full desktop application experience.
Configure Conda Path:
Ensure your settings.yaml
file points to your Conda environment path:
- macOS/Linux:
~/.config/nodetool/settings.yaml
- Windows:
%APPDATA%/nodetool/settings.yaml
CONDA_ENV: /path/to/your/conda/envs/nodetool # e.g., /Users/me/miniconda3/envs/nodetool
Build Frontends: You only need to do this once or when frontend code changes.
# Build the main web UI
cd web
npm install
npm run build
cd ..
# Build the apps UI (if needed)
cd apps
npm install
npm run build
cd ..
# Build the Electron UI
cd electron
npm install
npm run build
cd ..
Start Electron:
cd electron
npm start # launches the desktop app using the previously built UI
The Electron app will launch, automatically starting the backend and frontend.
pytest -q
cd web
npm test
npm run lint
npm run typecheck
cd electron
npm run lint
npm run typecheck
-
Node/npm versions: use Node.js LTS (≥18). If switching versions:
rm -rf node_modules && npm install
- Port in use (3000/8000): stop other processes or choose another port for the web UI.
-
CLI not found (
nodetool
): ensure the Conda env is active and packages are installed; restart your shell. -
GPU/PyTorch issues: follow the CUDA-specific steps above and prefer
--extra-index-url
for mixed sources.
We welcome community contributions!
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature
) -
Commit your changes (
git commit -m 'Add amazing feature'
) -
Push to the branch (
git push origin feature/amazing-feature
) - Open a Pull Request
Please follow our contribution guidelines and code of conduct.
AGPL-3.0 — True ownership, zero compromise.
Tell us what's missing and help shape NodeTool
✉️ Got ideas or just want to say hi?
[email protected]
👥 Built by makers, for makers
Matthias Georgi: [email protected]
David Bührer: [email protected]
📖 Documentation: docs.nodetool.ai
🐛 Issues: GitHub Issues
NodeTool — Build agents visually, deploy anywhere. Privacy first. ❤️
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