Open-source tool to seamlessly connect multiple AI model APIs into repeatable workflows.

🔗 Website • 📚 Documentation

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🎉🚀 Latest Release: v0.10.0 🚀🎉
New Nodes: Claude 3.7, OpenRouter, Generate Random Number
Configuration can now be done entirely in the UI

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Overview

AI-Flow is an open-source, user-friendly UI that lets you visually design, manage, and monitor AI-driven workflows by seamlessly connecting multiple AI model APIs (e.g., OpenAI, StabilityAI, Replicate, Claude, Deepseek).

Features

• Visual Workflow Builder: Drag-and-drop interface for crafting AI workflows.
• Real-Time Monitoring: Watch your workflow execute and track results.
• Parallel Processing: Nodes run in parallel whenever possible.
• Model Management: Easily organize and manage diverse AI models.
• Import/Export: Share or back up your workflows effortlessly.

Supported Models

• Replicate: LLaMa, Mistral, FaceSwap, InstantMesh, MusicGen, and more.
• OpenAI: GPT-4o, TTS, o1, o3.
• StabilityAI: Stable Diffusion 3.5, SDXL, Stable Video Diffusion, plus additional tools.
• Others: Claude, Deepseek.

Open Source vs. Cloud

AI-Flow is fully open source and available under the MIT License, empowering you to build and run your AI workflows on your personal machine.

For those seeking enhanced functionality and a polished experience, AI-Flow Pro on our cloud platform (app.ai-flow.net) offers advanced features, including:

• Subflows & Loops: Create complex, nested workflows and iterate tasks effortlessly.
• API-Triggered Flows: Initiate workflows via API calls for seamless automation.
• Integrated Services: Connect with external services such as Google Search, Airtable, Zapier, and Make.
• Simplified Interface: Transform workflows into streamlined tools with an intuitive UI.

The cloud version builds upon the foundation of the open-source project, giving you more power and flexibility while still letting you use your own API keys.

Installation

Note: To unlock full functionality, AI-Flow requires S3-compatible storage (with proper CORS settings) to host resources. Without it, features like File Upload or nodes that rely on external providers (e.g., StabilityAI) may not work as expected. Also, set REPLICATE_API_KEY in your environment to use the Replicate node.

Local Installation (Without Docker)

1. Clone the Repository:

   git clone https://github.com/DahnM20/ai-flow.git
   cd ai-flow

2. UI Setup:

   cd packages/ui
   npm install

3. Backend Setup:

   cd ../backend
   poetry install

   • Windows Users:

     poetry shell
     pip install -r requirements_windows.txt

4. Run the Application:

   • Start the backend:

     poetry run python server.py

   • In a new terminal, start the UI:

     cd packages/ui
     npm start

   • Open your browser and navigate to http://localhost:3000.

Docker Installation

1. Prepare Docker Compose:

   • Navigate to the docker directory:

     cd docker

   • Update the REPLICATE_API_KEY in the YAML file.

2. Launch with Docker Compose:

   docker-compose up -d

3. Access the Application:

   • Open http://localhost:80 in your browser.
   • To stop, run:

     docker-compose stop

Contributing

We welcome contributions! If you encounter issues or have feature ideas, please open an issue or submit a pull request.

License

This project is released under the MIT License.