--- name: nodetool description: Visual AI workflow builder - ComfyUI meets n8n for LLM agents, RAG pipelines, and multimodal data flows. Local-first, open source (AGPL-3.0). --- # 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 # 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 # Run workflow by ID nodetool run # Run workflow from file nodetool run workflow.json # Run with JSONL output (for automation) nodetool run --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 ``` ### 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 # Get job logs nodetool jobs logs # Start background job for workflow nodetool jobs start ``` ### 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 # View deployment logs nodetool deploy logs # Destroy deployment nodetool deploy destroy # 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 # 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 # Download HuggingFace models with progress nodetool admin download-hf # Download Ollama models nodetool admin download-ollama ``` ### 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

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