AI-Flow
Open-source visual workflow builder for connecting multiple AI models
Founded
2024
Starting Price
\u00240
Category
Automation & Integration
Last updated March 3, 2026
About AI-Flow
AI-Flow is an open-source platform that lets you visually connect and combine leading AI models through a drag-and-drop interface. Chain together GPT-4, DALL-E 3, Stable Diffusion, Claude, Mistral, LLaMA, and more from OpenAI, Anthropic, StabilityAI, and Replicate — all in a single workflow without writing code.
Pros & Cons
Pros
- Visual drag-and-drop makes multi-model AI workflows accessible to non-developers
- Supports a wide range of AI providers in a single unified interface
- Completely free when self-hosted with your own API keys
- API builder lets you turn workflows into production endpoints
- Local-first data storage protects privacy
Cons
Key Features
Visual Workflow Builder
Drag-and-drop interface to chain AI models together without coding
Multi-Provider Support
Connect models from OpenAI, Anthropic, StabilityAI, Replicate, and more in one workflow
Image Generation
Generate images using DALL-E 3, Stable Diffusion 3, and other models directly in workflows
API Builder
Build and customize APIs for your AI workflows with webhook support for automation
Local Data Storage
Flow data stored locally in browser by default, with JSON export for long-term storage
Self-Hosted Option
Run entirely self-hosted with your own API keys at no platform cost
Pricing
Self-Hosted
\u00240
- Full platform features
- Use your own API keys
- Local data storage
- No platform fees
- Open-source
Best For
Multi-Model AI Pipelines
Chain text generation, image creation, and analysis models into end-to-end automated workflows
AI Prototyping
Quickly experiment with different AI model combinations without writing integration code
Content Generation Workflows
Build automated pipelines that generate text, create images, and format output in one flow
