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Dify ⚙️ – Visual AI Development Platform for Agents, Workflows, and LLM Apps

Featured image of the Dify logo representing its listing in the AI Solutions Directory at newbits.ai – visual development platform for building AI agents, workflows, and LLM applications with multi-tool support.

Dify is a visual development platform that empowers teams to build AI agents, workflows, and LLM (large language model) applications without heavy coding requirements. With its drag-and-drop interface, users can rapidly design autonomous agents, integrate multiple tools, and deploy AI-powered solutions — all within a single, streamlined environment.


Designed for versatility, Dify supports tool calling, memory, variables, and conversation history to enable dynamic, multi-step execution. It’s compatible with leading LLMs like OpenAI, Claude, and Gemini, as well as self-hosted models accessed via APIs. Whether you’re building a chatbot, an AI copilot, or an automated workflow, Dify offers the speed and flexibility needed for rapid prototyping and production deployment.


🧠 How Dify Powers Agentic AI Development


Dify brings a visual, modular approach to AI application creation. Users can connect pre-built components, custom plugins, and API integrations to assemble intelligent workflows. Built-in connectors make it easy to integrate with databases, APIs, and webhooks.


With native support for LLM interoperability and persistent state management, Dify enables autonomous agents to remember context, adapt across conversations, and execute complex tasks without manual intervention.


🔍 Key Features at a Glance


⚙️ Visual Drag-and-Drop Builder – Construct agents, workflows, and AI apps without heavy coding

🧠 Persistent Context & Memory – Maintain state across multi-step tasks

🔌 Multi-Model Compatibility – Works with OpenAI, Claude, Gemini, and self-hosted LLMs

🌐 Seamless Integrations – Connect to APIs, databases, and webhooks with ease

⚡ Rapid Prototyping – Quickly move from concept to deployment for AI solutions


🚀 Real-World Use Cases for Dify


From enterprise automation to customer support, Dify is built to handle a wide range of applications:


  • Building AI copilots that integrate with internal tools and data sources


  • Automating multi-step business processes across APIs and databases


  • Deploying chatbots that retain conversation history for personalized responses


  • Creating internal knowledge assistants for team-wide use


📌 Example Scenario


A startup uses Dify to develop a customer support copilot. The team connects their CRM, ticketing system, and knowledge base into a single workflow. The agent handles inquiries, looks up relevant customer data, suggests solutions, and updates tickets — all within a unified, automated process.



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