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Langflow

Visually build, test, and deploy AI agents, RAG workflows, MCP servers, and LLM apps with drag-and-drop flows and reusable components.

FreeStarting price
175KMonthly visits
37Popularity
Langflow featured image

About Langflow

Langflow is an open-source low-code platform designed to simplify the creation and deployment of AI agents and retrieval-augmented generation (RAG) applications. It provides a visual editor that enables users to compose AI workflows by connecting modular components such as prompts, models, tools, vector databases, and outputs through an intuitive drag-and-drop interface. The platform supports real-time playground testing, allowing developers to iterate quickly and refine workflows without writing boilerplate code. Langflow is particularly suited for teams looking to prototype, test, and deploy AI systems efficiently, whether for building chatbots, document analysis tools, or multi-agent systems. It integrates with major large language models (LLMs), vector databases, and a growing library of AI tools, while also allowing customization through Python for advanced use cases. Workflows can be deployed as APIs, containerized for local or cloud deployment, or hosted on an enterprise-grade cloud platform, ensuring flexibility from development to production environments.

Key features

  • Visual drag-and-drop flow builder for AI workflows
  • Real-time playground for testing and debugging flows
  • Reusable component library for prompts, models, tools, and data stores
  • Python customization for extending flows while keeping them visual
  • API deployment and cloud/container support for production workflows
  • Agent and MCP server support for building and exposing AI tools
  • RAG workflows with LLMs, embeddings, retrievers, and vector databases
  • Template library for common AI app patterns
  • Self-hosting and cloud deployment options
  • Integration with external MCP servers and client tools

Use cases

  • Prototyping and deploying AI agents and MCP servers
  • Building RAG applications with document retrieval and LLM generation
  • Creating chatbots and document analysis systems with reusable components

Pros

  • Open-source platform with no vendor lock-in
  • Visual drag-and-drop interface for building AI workflows
  • Supports rapid prototyping and iteration of agentic systems and RAG pipelines
  • Extensible with custom Python components while maintaining visual clarity
  • Offers deployment options via APIs, containerization, or cloud services

Cons

  • May require technical knowledge for advanced customization
  • Visual complexity can increase with large or intricate workflows
  • Dependency on community-driven component libraries

Frequently asked questions about Langflow

What is Langflow used for?

Langflow is used to visually compose, prototype, and deploy AI workflows such as agentic systems, RAG pipelines, chatbots, and document analysis tools without extensive coding.

Who is Langflow designed for?

The platform is designed for AI developers, data scientists, and teams who want to build and deploy AI applications efficiently using a low-code visual interface.

Does Langflow support custom components?

Yes, Langflow allows users to extend workflows with custom Python components while maintaining a clear visual representation of the entire system.

Can Langflow workflows be deployed for production use?

Workflows can be deployed through APIs, containerization, or an enterprise-grade cloud platform, enabling seamless transition from prototype to production.

What integrations does Langflow support?

Langflow supports integration with major LLMs, vector databases, and tools like Airbyte, Anthropic, Azure, GitHub, Google Drive, and more.

How do I get started with Langflow?

Users can start by downloading the open-source version from GitHub or signing up for a free cloud account to begin building and deploying AI workflows.

Langflow traffic & engagement

langflow.org · third-party estimates from Similarweb

Data as of Sep 2026Full AI website ranking →
Monthly visits · Sep 2026175K-12.2% MoM12-month high 217K (Jun 2026)
Rank among AI websites#1,480▼ 105 vs last monthof 8,652 tools on aitoolnavio™
Rank in Automation & Agents#140of 1,179 tools in this category
Top marketChina10.9%Top 5 countries bring 42% of visits
Average visit55sLonger than 59% of AI sites
Pages per visit2.11More than 61% of AI sites
Bounce rate43%Leave after one page · lower is better
Similarweb global rank#247,661#414,004 in United States

Traffic trend

Last 4 months · grows by one month every month

  • Jun 2026217K
  • Jul 2026215K−0.7%
  • Aug 2026199K−7.3%
  • Sep 2026175K−12.2%

Where visitors come from

Share of visits by channel

  • Search47.9%
  • Direct37.6%
  • Referrals8.1%
  • Social3%
  • Mail0.1%

No measurable traffic from Paid Referrals.

Top countries

Share of visits · estimated visits

  • China19K10.9%
  • United States17K9.5%
  • India15K8.7%
  • Indonesia13K7.4%
  • Russia9.1K5.2%

Other countries: 58.3%

Visits sent by AI assistants

How people reach this site from other AI tools

929 a month · 0.5% of all visits

  • ChatGPT0.5%
  • Gemini0.3%
  • Perplexity0.1%

Traffic figures are third-party estimates, good for scale and trends; they can differ from a company's own numbers. Updated monthly.

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