Langflow

Summary

Langflow is a free, open-source Python framework for building customizable AI applications, including agent and MCP applications. Its visual editor lets users connect components with drag-and-drop to build and test workflows, and the Playground provides interactive testing with real-time feedback. It does not require a particular large language model or vector store. Listed integrations include Anthropic, Azure, OpenAI, Hugging Face, Ollama, Qdrant, Pinecone, Slack, and Google Drive. Users can build agents, make components and flows available as agent tools, expose Langflow as an MCP server, or connect to external MCP servers. Custom Python components can be developed for personal use or shared with other users. Flows can be embedded through the API or served from a deployed server. Installation options include Desktop, Docker, a Python package, and source; Desktop supports macOS 13 or later and Windows, but lacks Shareable Playground and Voice Mode. Langflow can run developer-provided Python with access to the host backend, filesystem, and network, and does not isolate users within one process. Multi-tenant operators are responsible for infrastructure-level tenant isolation.

Who it is for

It suits developers building customizable AI workflows, agents, or MCP applications who want a visual editor and the option to add Python components. Operators of multi-tenant deployments need to manage tenant isolation at the infrastructure level.

Compared on AI agent platforms

Free plan

Yeslangflow.org

Deployment model

bothlangflow.org

Visual agent builder

Yeslangflow.org

Multi-agent support

Yeslangflow.org

Knowledge grounding

Yeslangflow.org

Voice agent support

Yeslangflow.org

Human handoff

Yeslangflow.org

Facts

Purpose

Langflow is an open-source, Python-based framework for building customizable AI applications, including agent and MCP applications.docs.langflow.org · 30 Sept 2026

Visual builder

Its visual editor lets users connect and configure components with drag-and-drop to build and test AI workflows.docs.langflow.org · 30 Sept 2026

Model choice

Langflow does not require users to use specific large language models or vector stores.docs.langflow.org · 30 Sept 2026

Agents and MCP

Langflow supports building AI agents, using components and flows as agent tools, exposing Langflow as an MCP server, and connecting to external MCP servers.docs.langflow.org · 30 Sept 2026

Integrations

The homepage lists integrations including Anthropic, Azure, OpenAI, Hugging Face, Ollama, Qdrant, Pinecone, Slack, and Google Drive.langflow.org · 30 Sept 2026

Extensibility

Users can create custom Python components for personal use or to share with other Langflow users.docs.langflow.org · 30 Sept 2026

API

Flows can be embedded in application code through the Langflow API or served from a deployed Langflow server.docs.langflow.org · 30 Sept 2026

Install options

The installation guide offers Langflow Desktop, Docker, a Python package, and installation from source.docs.langflow.org · 30 Sept 2026

Desktop platforms

Langflow Desktop is available for macOS and Windows; the guide says macOS requires version 13 or later.docs.langflow.org · 30 Sept 2026

Desktop limitations

The guide says the Shareable Playground and Voice Mode are unavailable in Langflow Desktop.docs.langflow.org · 30 Sept 2026

Security

Langflow can execute developer-provided Python with access to the host backend, filesystem, and network, and it does not enforce user isolation within a single process.docs.langflow.org · 30 Sept 2026

Security controls

Langflow documents built-in authentication and API keys, and recommends enabling authentication, especially in production.docs.langflow.org · 30 Sept 2026

Support

The official site links to community help on Discord, professional services, and Premier Support.langflow.org · 30 Sept 2026

Free access

The official homepage offers free access to get started and describes a free cloud account for deployment.langflow.org · 30 Sept 2026

Visual editor

Its visual editor lets developers connect and configure component nodes to build and test AI application workflows.docs.langflow.org · 30 Sept 2026

Models and vector stores

Langflow does not require users to choose specific large language models or vector stores.docs.langflow.org · 30 Sept 2026

Customization

Users can develop custom Python components for personal use or to share with other Langflow users.docs.langflow.org · 30 Sept 2026

Testing and API

The Playground supports interactive flow testing with real-time feedback, and the Langflow API can embed flows in application code.docs.langflow.org · 30 Sept 2026

Python requirements

The OSS Python package installation guide lists Python versions 3.10 to 3.14 as supported prerequisites.docs.langflow.org · 30 Sept 2026

Security limitation

Langflow can execute arbitrary developer-provided Python with access to the backend process, filesystem, and network, and it does not enforce user isolation within one process.docs.langflow.org · 30 Sept 2026

Deployment responsibility

For multi-tenant deployments, the security documentation assigns responsibility for tenant isolation to the operator at the infrastructure level.docs.langflow.org · 30 Sept 2026

Where it ranks on Everything Xiaomi

• Best AI Agent Platforms in 2026#23 of 73
• Best Retrieval-Augmented Generation Tools in 2026#12 of 26

Sources

• docs.langflow.org· checked 30 Sept 2026
• langflow.org· checked 30 Sept 2026
• docs.langflow.org/get-started-installation· checked 30 Sept 2026
• docs.langflow.org/security· checked 30 Sept 2026
• docs.langflow.org/api-keys-and-authentication· checked 30 Sept 2026
• docs.langflow.org/next/get-started-installation· checked 30 Sept 2026