Dify
The Platform for Production-Ready Agentic Workflows
Dify is a platform for building and operating AI applications, including agentic workflows, retrieval-augmented generation pipelines, and knowledge bases. It provides a visual workspace where teams can define how an application retrieves data, makes decisions, calls tools, requests human input, and completes tasks, keeping the execution path visible for testing, debugging, and handoff. The platform supports multiple AI model providers and can be deployed on Dify Cloud, in a VPC, or self-hosted.
Core capabilities include a Workflow Studio, agent building with skills and tools, a Knowledge Pipeline for extracting, cleaning, chunking, and indexing files, websites, and online documents, and a Marketplace for model providers, tools, data sources, and MCP integrations. Apps can be published as hosted experiences, API endpoints, embeds, or MCP-compatible tools, with logs, feedback, annotations, latency, and usage data available for monitoring.
Dify is aimed at developers, teams, and organizations building production AI applications. It is offered as a managed cloud service, a self-hosted Enterprise edition with SSO/SAML, RBAC, audit logs, and Kubernetes deployment support, and a source-available Community Edition under an Apache-2.0-derivative license. Cloud plans are workspace-based with monthly message credits, team member limits, app and knowledge document quotas, and storage allowances; a free Sandbox plan is available for trying core features.
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