Langflow
Automation & Workflows
Low-code AI builder for agentic and RAG applications.
Table of contents
Screenshots
Video Tutorials
✂ Features & Specs
Langflow is an open-source, low-code platform for building agentic applications and retrieval-augmented generation (RAG) workflows. It provides a drag-and-drop visual editor, a component library, and integrations with major LLM providers and vector databases. Langflow can be self-hosted, and a desktop app is available for Mac and Windows; Langflow Cloud also offers free accounts to get started. Flows are exportable and the project emphasizes interoperability with popular model and database providers.
Reviews
Mokhtar BOUSBAI
5/23/2026
Strong visual AI agent builder, but production use needs caution
Langflow is a low-code AI builder for creating agents, RAG applications, chatbots, workflows, and AI tools through a visual drag-and-drop interface. It is especially useful for developers, AI builders, startups, and technical teams that want to prototype AI applications faster without writing everything from scratch. What works well is flexibility. Langflow supports different LLMs, vector databases, APIs, custom Python components, and MCP workflows, which makes it more powerful than simple no-code chatbot builders. It is also open-source, so technical users can self-host, customize, and inspect the system. The main weakness is that Langflow is better for prototyping and technical experimentation than for fully polished production systems out of the box. Complex flows still need testing, version control, security checks, monitoring, and developer review. Public buyer-review proof is also limited, with G2 currently showing 0 verified reviews, so teams should test it carefully before depending on it for critical workflows. Overall, Langflow is a strong choice for building AI agents and RAG prototypes quickly, especially for developers who want visual building plus code-level control. It is not ideal for non-technical users who want a simple plug-and-play automation tool.
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