Langflow

Langflow is an open-source, low-code platform for building and deploying AI agents and retrieval-augmented generation (RAG) pipelines. Instead of writing code from scratch, developers arrange prompts, models, and data-connector components on a visual canvas to define how an application should behave, then test and iterate on the flow in real time. The platform doesn't lock users into a specific LLM or vector store, and flows can be converted directly into API endpoints for production use. For teams that need more control, Langflow also supports Python customization within the visual flows, and it ships with pre-built templates and reusable components to speed up prototyping. Langflow is built for AI developers and teams who want to move quickly from idea to working application, whether that's a chatbot, a document-analysis system, a content generator, or a multi-agent workflow. It integrates with a wide range of model providers and data sources, including Anthropic, Azure, Google Cloud, Groq, Hugging Face, Mistral, MongoDB, Notion, Ollama, Slack, GitHub, and Confluence, and it also supports the Model Context Protocol (MCP). The project is fully open source, available as both a desktop application and a cloud-hosted service, with a free tier and an enterprise cloud option. As a highly flexible, general-purpose builder, it can require more setup and configuration than narrower, single-purpose no-code tools.