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Langflow

Langflow is an open-source, Python-based visual development framework for assembling AI agents and workflows, customizing components, testing flows interactively, and exposing authored flows through APIs or MCP servers.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Langflow — OpenViST project profile in Agent Frameworks.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Langflow during AI application development when you need a visual way to author and iterate on flows, with Python customization and a documented route to API or MCP integration.

Who it is for

  • Developers building AI-powered agents or workflows.
  • Teams that want to customize workflow components with Python.
  • Application developers connecting authored flows through APIs or MCP clients.

Documented uses

  • Assemble AI agent and workflow flows visually.
  • Customize components using Python source code.
  • Test and refine flows interactively with step-by-step control.
  • Coordinate multiple agents with conversation management and retrieval.
  • Expose flows through an API, export them as JSON for Python apps, or make them tools for MCP clients.
Before you choose

Requirements & limits

The project is open source under the MIT license. The README documents local Python installation and a Docker option; Langflow Desktop is described as available for Windows and macOS.

  • The documented local Python path requires Python 3.10–3.14 and recommends uv.
  • The README offers Docker as another startup route, with configuration details in a separate deployment guide.
  • Flows can be exposed as APIs or MCP tools; specific authentication and deployment configurations are not described in the cited repository material.
  • Named observability integrations include LangSmith and LangFuse.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install and start Langflow locally

Install the Langflow Python package and open the local development interface.

Before you start

  • Python 3.10–3.14
  • uv, the recommended package manager

Steps

  1. From a fresh directory, run the command below.

    Documented command
    uv pip install langflow -U

  2. Run the command below.

    Documented command
    uv run langflow run

  3. Open http://127.0.0.1:7860.

Expected outcome

Langflow starts locally and is available in a browser at the listed address.

Guide limitations

  • This setup guide covers starting Langflow, not building or deploying a particular flow.
Documentation 1 ↗
COMPARE OPTIONS

Compare options for Agent orchestration

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
LangflowAssemble AI agent and workflow flows visually.CLI, Docker, Linux, macOSThe project is open source under the MIT license. The README documents local Python installation and a Docker option; Langflow Desktop is described as available for Windows and macOS.
AgeniteDefine typed tools with JSON Schema validation and error handling.CLI
VeldraCreate an agent with a policy, tools, skills, knowledge base and reasoning method.Self-hostedThe documented deployment is self-hosted and uses a sign-in gate after a first-run administrator account is created.
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
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Sources checked
13 October 2026
Original website title
langflow-ai/langflow · Official homepage title · retained in its source language
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