Nodetool is an open-source visual builder that lets you create AI workflows by connecting drag-and-drop nodes on a canvas. Build LLM agents, image and video pipelines, document intelligence systems, and automations without writing code. It runs locally on your machine for full privacy, supports models from OpenAI, Anthropic, Google, Hugging Face, Ollama, and more, and can scale to the cloud when needed. Licensed under AGPL-3.0 and available on macOS, Windows, and Linux.

• Visual Node Editor: Build AI workflows by dragging and connecting nodes on a canvas. See every step execute in real-time and inspect intermediate outputs as they stream.
• Local-First Privacy: All workflows, assets, and models run on your own machine by default. Your data never leaves your hardware unless you choose a cloud provider.
• Multi-Provider Model Support: Use models from OpenAI, Anthropic, Google, Hugging Face, Groq, Together, Replicate, Cohere, or run local models with Ollama, MLX, and GGUF formats.
• AI Agent Builder: Create multi-step agents that can plan, reason, browse the web, and execute code in a sandboxed environment.
• Document Intelligence & RAG: Index your documents with built-in vector storage (ChromaDB), then query them using retrieval-augmented generation.
• Multimodal Processing: Handle text, images, audio, and video in a single workflow. Supports models like FLUX.2, Sora 2, Veo 3.1, Whisper, and more.
• Mini-App Builder: Turn any workflow into a standalone application or custom chatbot with a built-in chat interface.
• Extensible Node Packs: Install additional nodes from the NodeTool Packs Registry to add new capabilities as you need them.

• Fully Open-Source and Free: No subscription fees or usage limits from NodeTool itself. You only pay for third-party cloud API calls if you choose to use them.
• Strong Privacy Controls: Local-first architecture means your data stays on your machine. Ideal for sensitive projects or regulated industries.
• Broad Model Compatibility: Supports dozens of AI providers and local model formats, so you can swap backends without rebuilding your workflow.
• No Coding Required For Most Workflows: The visual drag-and-drop interface makes AI accessible to non-developers while still offering depth for technical users.
• Cross-Platform Support: Runs on macOS, Windows, and Linux with GPU acceleration via NVIDIA CUDA or Apple Metal.

• Hardware Demands For Local Use: Running models locally requires a capable GPU (NVIDIA or Apple Silicon) and at least 20GB of free disk space for model downloads.
• Complex Initial Setup: Installation involves managing Python dependencies, CUDA drivers, and Conda environments, which can be challenging for less technical users.
• AGPL-3.0 License Restrictions: The copyleft license requires sharing modifications if you distribute the software, which may not suit all commercial use cases.

• Document Q&A and Research: Index a library of PDFs, reports, or internal docs using Nodetool's RAG nodes. Build a workflow that lets you ask natural language questions and get sourced answers from your own document collection.
• AI-Powered Media Pipelines: Chain together image generation, video creation, and audio processing nodes to produce creative content. For example, generate images with FLUX.2, create video with Veo 3.1, and add AI voiceover in one pipeline.
• Custom AI Chatbots: Use the built-in chat interface and agent nodes to create a chatbot trained on your specific data. Deploy it as a mini-app for your team or customers without writing backend code.
• Email and Data Automation: Connect Gmail, databases, and LLM nodes to automate tasks like email summarization, data extraction, or report generation. The cookbook includes ready-made templates for common workflows.
• Prototyping AI Applications: Quickly test different models, prompts, and pipeline architectures visually before committing to code. Switch between providers like OpenAI and local Ollama models to compare results side by side.