Langflow

What is Langflow?

Langflow is an open-source, Python-based framework with a drag-and-drop editor for building AI apps including chatbots, document analysis tools, content generators and agents. You assemble a flow from components that stand for prompts, language models, vector stores, data sources, agents and MCP servers, then test it in the built-in Playground, where an Agent component shows its tool calls. Each flow can be called through an automatically generated API with Python, JavaScript and curl snippets, exported as JSON, embedded in HTML, React or Angular sites, or exposed as a tool for MCP-compatible clients. Because it does not tie you to particular LLMs or vector stores, teams use it to prototype quickly and then serve the same flows in production. You can run Langflow yourself as a Python package, Docker image or desktop app, or sign up for a free cloud account. The vendor lists no paid plans or prices on its site.

Use cases

• Build a RAG chatbot visually
• Create AI agents with tool access
• Expose a flow as an MCP server
• Prototype LLM workflows without boilerplate
• Serve a flow as an API endpoint
• Embed a chat flow into a website

Who it's for

• AI developers
• Data scientists
• Product teams
• Startups

Why use Langflow

• Visual flows are easy for non-specialists to read, while Python customization is there when developers need it.
• The same flow can be tested in the Playground, called by API, embedded in a site or served as an MCP tool.
• It is not tied to any single LLM or vector store, so components can be swapped.
• Open-source code means you can run it locally or on your own servers.
• The same Langflow is available as OSS or in a free cloud account.

Langflow features

• Drag-and-drop visual editor for flows and components
• Playground for chatting with a flow and inspecting agent tool calls
• Pre-built templates such as Simple Agent
• Auto-generated API snippets in Python, JavaScript and curl
• Export flows as JSON
• Embed flows in HTML, React or Angular apps
• MCP server and MCP client support
• Custom Python components
• Tweaks to override flow settings at runtime
• Docker and containerized deployment

Langflow integrations

• Anthropic
• Azure
• Google Cloud
• Google Drive
• Gmail
• GitHub
• Hugging Face
• Groq
• MongoDB
• Weaviate
• Cassandra
• Perplexity
• Confluence
• Composio
• LangChain

How to get started with Langflow

1. Install Langflow, use the desktop app, or sign up for a free cloud account.
2. Start from a template or drag components onto the workspace and connect them into a flow.
3. Test the flow in the Playground and adjust components or add custom Python code.
4. Call the flow through the generated API, embed it, export it or expose it as an MCP server.

Langflow limitations

• The Shareable Playground is not available in Langflow Desktop
• Upgrades can include breaking changes, so docs recommend installing new versions in a new environment
• Self-hosting means you manage deployment and scaling
• Pricing for the cloud service beyond the free account is not stated

Langflow pricing

Langflow is open source, so you can use and self-host it for free.

Prices can change and may vary by country or exclude tax. Check the official pricing page.

Langflow alternatives

The main Langflow alternatives listed on Debuly are Flowise, n8n, Dify, Agent Development Kit (ADK), Agno and Haystack. The table compares pricing and platforms; order is A–Z.

1. 

   Agent Development Kit (ADK)

   Google's open-source, code-first Python framework for building, testing and deploying AI agents and multi-agent workflows.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit Agent Development Kit (ADK) (official site)
2. 

   Agno

   Python framework and AgentOS runtime for building agents, teams and workflows, then serving them as an API with a control plane.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit Agno (official site)
3. 

   Dify

   Platform for building LLM apps, agents and RAG workflows on Dify Cloud or your own infrastructure, with a free Sandbox tier.

   Developer platformsAutomation and agentsChat assistants
   FreemiumVisit Dify (official site)
4. 

   Flowise

   Open-source visual builder for AI agents, chatbots and RAG workflows, self-hosted or on Flowise Cloud.

   Developer platformsAutomation and agentsChat assistants
   Open sourceVisit Flowise (official site)
5. 

   Haystack

   Open-source Python framework from deepset for building RAG pipelines, AI agents and multimodal apps from modular components.

   Developer platformsCodingAutomation and agents
   Open sourceVisit Haystack (official site)
6. 

   n8n

   Workflow automation platform with a visual builder, code steps and AI agents, available as n8n Cloud or self-hosted.

   Automation and agentsDeveloper platforms
   FreemiumVisit n8n (official site)

Langflow FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from langflow.org · fetched 24 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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