nodetool
Visual AI workflow builder - ComfyUI meets n8n for LLM agents, RAG pipelines, and multimodal data flows. Local-first, open source (AGPL-3.0).
Best use case
nodetool is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Visual AI workflow builder - ComfyUI meets n8n for LLM agents, RAG pipelines, and multimodal data flows. Local-first, open source (AGPL-3.0).
Teams using nodetool should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/nodetool/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How nodetool Compares
| Feature / Agent | nodetool | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this 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).
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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 statusRelated Skills
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