Langflow

Active

Country: Brazil (BR)
Founded: 2023
Developer: Langflow AI
Pricing: Free (open-source)
Open source: Yes
Platforms: Web, Linux, macOS, Windows

Indexes

AI Agents & Automation

Overview

Langflow is an open-source, Python-based framework for building AI applications, including agents, RAG workflows, and MCP servers. It features a visual drag-and-drop editor for connecting components like LLMs and vector databases without requiring specific models or stores. Aimed at developers prototyping chatbots, document analysis, content generators, and multi-agent systems, it functions as both an IDE for design and a runtime for API deployment.²³⁴

Key Features

Visual Flow Builder - Drag-and-drop interface to connect nodes representing AI components like models and data sources.
Pre-built Templates - Ready-to-use flows for chatbots, RAG, and agentic applications that can be customized.
Langflow API - Programmatic access to create, edit, run flows, and manage components via Python, JS, or HTTP.
Custom Components - Support for developing and integrating user-defined components into workflows.
Playground Testing - Built-in interface to test and interact with flows directly in the editor.
Multi-Agent Support - Tools for orchestrating agentic workflows and downstream agents.
Runtime Mode - Headless backend operation for production deployment and API serving.

Pricing

Plan	Price	Includes
Community	Free	Full open-source access, visual builder, API, all components and templates.
Self-Hosted Enterprise	Contact for pricing	Production deployment support, custom scaling (inferred from runtime features).

Platforms & Requirements

Langflow runs as a web-based application via a local server, accessible in any modern browser on Windows, macOS, or Linux. It requires Python installation for setup and can be containerized with Docker for deployment. No native mobile support; minimum requirements include Python 3.10+ and sufficient RAM for LLM operations.²⁶

Integrations & Ecosystem

Major LLMs (OpenAI, Anthropic, etc.)
Vector databases
LangChain components
Custom Python tools
HTTP/REST APIs
File management
MCP servers

Alternatives

App	Difference
Flowise	Similar low-code AI flow builder but more focused on no-code users with simpler interface.
n8n	General automation tool with AI nodes, less specialized for agentic/RAG workflows.
Haystack	Python library for RAG pipelines, code-heavy without visual drag-and-drop editor.
CrewAI	Framework for multi-agent systems, requires more coding than Langflow's visual approach.

Reputation

Langflow is recognized for simplifying AI workflow prototyping through its visual editor and broad component support, earning praise from developers for rapid iteration on agents and RAG apps.²⁴⁵ Active GitHub maintenance indicates ongoing community contributions, though some users report setup issues like Docker profile errors.⁹ It stands out for API flexibility in production but may require Python knowledge for advanced customization.¹⁶

Sources (9)