Dify

Dify eliminates the complexity of building AI applications from scratch. Instead of writing deployment code, you connect pre-built blocks—models, tools, and logic gates—into executable workflows in a visual studio. You can create autonomous agents with memory and tool access, build searchable knowledge bases from documents and websites, and deploy as APIs, web apps, or embeds.

Highlights

• Visual workflow builder that turns prompt logic into observable execution paths with branching and tool integration
• Agent framework with memory, tool bindings, and autonomous reasoning for complex tasks
• Knowledge pipeline for extracting, cleaning, and indexing unstructured content into searchable bases
• Multiple deployment targets: managed cloud, self-hosted, Docker, or as MCP-compatible tools
• Built-in monitoring, logging, and analytics for production workflows

Dify is available as a free community edition (open source, 150K+ GitHub stars), a free sandbox tier, or cloud plans starting at $590/year. The platform integrates major LLM providers—OpenAI, Anthropic, Gemini—and supports custom model endpoints, making it flexible for enterprises that need control over their AI stack.