ai-flow - AI Workflow Builders Tool

Overview

ai-flow is an open-source, self-hostable workflow builder for assembling, running, and monitoring custom AI pipelines through a visual drag-and-drop interface. It lets users wire together multiple model APIs (examples documented include GPT-4o, Stable Diffusion, and FLUX) using their own API keys, enabling mixed-modality flows that combine text generation, image generation, and other model endpoints. Designed for both experimentation and lightweight production, ai-flow emphasizes parallel processing, real-time observability of running workflows, and import/export of workflows for sharing or versioning. According to the project's GitHub repository, ai-flow is released under the MIT license and is actively maintained (last commit recorded 2025-06-10). The project targets users who want a low-code visual environment to prototype multi-model applications, automate model chaining (for example: text prompt → image generator → post-processing), and monitor execution without building a custom orchestration stack. Because api keys are supplied by the user, ai-flow integrates with whatever commercial or open model endpoints you choose to use, keeping the runtime and credentials under your control.

GitHub Statistics

• Stars: 266
• Forks: 48
• Contributors: 1
• License: MIT
• Primary Language: TypeScript
• Last Updated: 2025-06-10T16:24:43Z
• Latest Release: v0.11.3

The GitHub repository shows moderate community interest with 266 stars and 48 forks, indicating real-world usage and experimentation. The project has a single listed contributor, which suggests a small maintainer team; however, the repository is active, with the last commit on 2025-06-10. The MIT license lowers adoption friction for integrations and forks. Potential users should evaluate issue responsiveness and contributor activity in the repo before relying on it for critical production workloads.

Installation

Install via docker:

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

cd ai-flow

docker compose up -d

Key Features

• Visual drag-and-drop canvas for building AI pipelines without code
• Connects to multiple model APIs (e.g., GPT-4o, Stable Diffusion, FLUX) via user-provided API keys
• Parallel processing of nodes to speed multi-branch workflows
• Real-time monitoring and execution logs for running workflows
• Import and export workflows for sharing, versioning, or backup
• Self-hostable under the permissive MIT license for on-prem deployments

Community

Moderate interest with 266 stars and 48 forks, but a small core team (1 contributor). Active commits as of 2025-06-10 indicate maintenance, though community contributions appear limited.

Key Information

• Category: Workflow Builders
• Type: AI Workflow Builders Tool