Langflow

Build and deploy enterprise-grade AI Agent Applications — the way you want

Overview

Build AI workflows your way

Langflow is a visual builder for AI workflows that combines the speed of no-code creation with the power of full-code development. Start by assembling workflows with drag-and-drop components, then extend them in Python to integrate internal systems, apply custom logic, or create entirely new tools.

Whether you’re prototyping without writing code or refining a production-grade workflow, Langflow gives you the best of both worlds - fast iteration when you want it, and developer-level control when you need it.

Build your own MCP server in Langflow

Features

Create, connect and deploy AI workflows

Langflow lets you assemble complex agentic workflows visually, but never locks you in. Add, connect, and configure components (link resides outside of ibm.com), then test your flow in the Playground (link resides outside of ibm.com), view component responses, and inspect logs. Every component exposes its underlying configuration, and you can extend any flow with Python, custom logic, or external APIs. Prototype fast, then dive deep when needed, without switching tools or rewriting your workflow.

Lasngflow screenshot for low and no code UI

Connect to APIs, internal services, vector databases, LLM providers, and MCP tools using well-defined components that behave predictably and accept structured I/O. Swap providers, version dependencies, or wrap custom logic in Python when needed.

If it has an API, Langflow can talk to it, and you stay in control of how the integration behaves.

Langflow tools screenshot

Prototype locally with Langflow Desktop, deploy as a REST service using Docker, or publish to Langflow Cloud or watsonx Orchestrate. No proprietary infrastructure required. Enable API access, use your Langflow API key, and deploy via Docker or a remote server as needed.

Your workflow stays portable and environment-agnostic, so you can ship to dev, QA, or prod using the same flow definition.

Screenshot langflow deployment options

Expose flows as APIs, wrap them in custom UIs, or run them as agents that can call tools, databases, and external systems. As demand grows, auto-scale in Langflow Cloud or your own infrastructure.

Your flows become reusable, composable building blocks ready for multi-agent systems, live applications, or high-traffic workloads.

Langflow screenshot for embeddable UI

Use cases

Automate how you process data

Call classification analytics

Build an automated call transcription and classification system using Langflow that converts audio files into structured data with AI-powered analysis for topic, sentiment, resolution status, and urgency labeling.

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Chunk classification

Automate document processing with this Langflow workflow that ingests files, splits them into chunks, and uses AI-powered classification to systematically categorize each text segment. Build the entire pipeline through drag-and-drop components without extensive coding.

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CSV query assistant

Automated document analysis assistant built with Langflow that processes uploaded files, extracts insights through natural language queries, and performs mathematical calculations on document data without manual review.

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Data extraction

Transform unstructured documents like PDFs, emails, and web pages into structured, machine-readable data using Langflow’s visual, low-code approach. Build automated document processing pipelines for contracts, invoices, resumes, and financial reports with AI-powered extraction and validation.

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Langflow Editions

Different environments for building and deploying Langflow workflows, depending on how much control or management you want.

Edition

Best for

What you get

Langflow OSS  

Working with open-source code, customizing components, or self-managed environments

Visual builder, 100+ integrations, community support, full source access

IBM Elite Support for Langflow 

Enterprises needing SLAs & support 

Professional support for Langflow OSS users

IBM Langflow Desktop

Local development, quick prototyping, and offline or isolated workflows.

Local LLM support, full IDE, export to cloud-ready format, Self-hosted 

Integration with Watsonx Orchestrate  

Integrating Langflow-built workflows into enterprise automation pipelines

watsonx Orchestrate integration, enterprise-grade runtime + support

 

Take the next step

Get started now with IBM Langflow 

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