What is Langflow
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.
Key Features
Langflow lets you assemble complex agentic workflows visually, but never locks you in. 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.
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.
Prototype locally with Langflow Desktop, deploy as a REST service using Docker, or publish to Langflow Cloud or watsonx Orchestrate. No proprietary infrastructure required.
Your workflow stays portable and environment-agnostic, so you can ship to dev, QA, or prod using the same flow definition.
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 lets you assemble complex agentic workflows visually, but never locks you in. 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.
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.
Prototype locally with Langflow Desktop, deploy as a REST service using Docker, or publish to Langflow Cloud or watsonx Orchestrate. No proprietary infrastructure required.
Your workflow stays portable and environment-agnostic, so you can ship to dev, QA, or prod using the same flow definition.
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.
How it works
Install Langflow via the open-source, desktop, or watonx.Orchestrate integration. Then, create a new project or start from a template in the Store.
Add, connect, and configure components.
Open the Playground to test your flow with queries, view component responses, and inspect logs to understand the reasoning process.
Enable API access in flow settings, copy the code snippet for your language, add your Langflow API key, and deploy via Docker or a remote server as needed.
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 |
IBM Langflow Cloud (Private Preview) | Deploying and scaling workflows without managing infrastructure | One-click deploy from Desktop or browser, Autoscaling workflows, Managed runtime, logging, monitoring, No infra overhead. |
Integration with Watsonx Orchestrate | Integrating Langflow-built workflows into enterprise automation pipelines | watsonx Orchestrate integration, enterprise-grade runtime + support |