Refly AI is an open-source workflow automation platform designed for non-technical creators. It uses a visual canvas where you can drag and connect nodes to build AI-powered workflows through simple prompts. The platform integrates knowledge bases, supports 13+ AI models including DeepSeek R1 and Claude 3.5 Sonnet, and handles multimodal content (text, image, audio, video). You can publish workflows to a marketplace and earn 20% of credits when others use them.

• Visual Canvas Builder: Drag and connect nodes to create functional workflows without writing code, with modular components and resource sharing across projects.
• AI Copilot: Describe tasks in natural language and the copilot instantly crafts, modifies, and debugs complex automations directly on your canvas.
• Knowledge Base Integration: Connect documents, code, web clippings, and canvases as resources that AI can retrieve and use to provide context for better outputs.
• Multi-Model Support: Access 13+ leading AI models including DeepSeek R1, Claude 3.5 Sonnet, Google Gemini 2.0, and OpenAI O3-mini in a single workflow.
• Multimodal Workflows: Generate and process text, images, audio, and video seamlessly within the same automation without switching tools.
• Template Marketplace: Publish your workflows as templates and earn 20% of the credits consumed each time other users run them.
• Intelligent Task Decomposition: Complex tasks are automatically broken down into executable sub-tasks that the AI handles step-by-step.
• Self-Hosted Option: Deploy Refly on your own infrastructure for complete control over data and customization.

• No Coding Required: Build sophisticated AI automations through visual interface and natural language prompts, accessible to non-technical users.
• Multiple AI Models: Switch between 13+ models in one workflow to use the best tool for each specific task.
• Monetization Built-In: Earn passive income by publishing templates to the marketplace with automatic credit sharing.
• Open Source: Self-host the platform for full control, or use the cloud version with zero configuration.
• Time Savings: Reduces content creation and research tasks from hours or days down to minutes through automation.
• Free Model Access: Cloud version includes free access to the latest AI models without separate API costs.

• Learning Curve for Complex Workflows: While basic workflows are easy to initiate, building advanced automations can require significant time for learning and experimentation.
• Documentation Gaps: Certain features may not be fully explained in the available guides. Consequently, users might need to explore the platform independently or rely on community support to understand all capabilities.
• Web-only Interface: The platform currently operates via the web, which means there is no dedicated mobile app experience available yet.
• Feature Breadth Over Depth: The platform aims to cover many types of tasks in one place. This approach may feel less focused than tools built for specific functions, such as CRM automation or deep enterprise use.

• Content Marketing Automation: Marketing teams build "Viral Radar" workflows that automatically track top creators, detect trending topics, analyze viral post structures, and save insights to Notion with AI-generated follow-up ideas. This reduces 2 hours of daily manual social media research into an automated morning workflow.
• Academic Research & Writing: Researchers conduct deep analysis across legal documents, technical papers, and academic sources using AI-generated frameworks and knowledge base integration. The platform automatically organizes findings, generates citations, and creates structured outlines for complex research projects.
• Investment Analysis Workflows: Financial analysts automate due diligence by building workflows that gather data across multiple sources, correlate cross-domain knowledge, and generate investment frameworks. The system provides intelligent topic analysis and automatic report generation for faster decision-making.
• Product Design Prototyping: Designers rapidly prototype product concepts by creating workflows that generate SVG graphics, Mermaid diagrams, and HTML mockups. They can build polished presentations and multimodal marketing content through collaborative human-AI workflows on the visual canvas.
• Customer Behavior Analytics: Marketing leads use AI-driven analytics workflows to analyze customer data, identify behavior patterns, and generate personalized campaign recommendations. Users report 40% increases in engagement and 30% rises in repeat purchases.
• Code Documentation Generation: Development teams automate documentation creation by building workflows that analyze codebases, generate explanatory diagrams, and produce technical guides. The system integrates with existing knowledge bases and maintains documentation consistency across projects.