AI Tool
Langflow pricing, features, company info, and alternatives
A factual product page for Langflow as an open-source visual builder for AI workflows and agents.
Last updated April 2026 · Pricing and features verified against official documentation
Pricing
Current public pricing tiers on file for Langflow, last verified Apr 26, 2026.
Langflow OSS
$0
Open-source software with community support and full source access.
IBM Elite Support for Langflow
Contact us
Subscription support for Langflow OSS users; IBM says no software license is included.
What You Can Do With It
The main capabilities that shape how people use Langflow today.
Build AI workflows in a drag-and-drop editor and extend them with Python or custom components.
Run flows through the Langflow API with generated Python, JavaScript, and curl snippets.
Embed flows in websites, expose them through MCP server endpoints, or use the OpenAI Responses-compatible endpoint.
Deploy locally with Desktop or Docker, and the product page also lists Langflow Cloud as a private preview.
Best For
Who Langflow is most clearly built for.
Teams that want an open-source visual builder but still need Python-level control.
Developers who want to publish flows as APIs or MCP services.
Users who want desktop prototyping before moving a flow into deployment.
Company
Leadership and company context for IBM.
Headquarters
Armonk, NY, USA
Platforms
Where you can use Langflow today.
Web
Desktop
API
Docker
MCP server
MCP client
Privacy Notes
Publicly stated data-handling notes that matter when evaluating Langflow.
Langflow uses anonymous telemetry for flow runs, the Playground, component execution, and Desktop registration events.
The telemetry docs say the data is anonymized, does not collect personal or sensitive data, and can be disabled in Langflow Desktop with the `DO_NOT_TRACK` environment variable.
Access
How to integrate or build around Langflow.
Public API
Yes
Docs
Available
Alternatives
Other tools worth considering alongside Langflow.
Product snapshot
Langflow is an open-source, Python-based framework for building AI applications. Its core workflow is a visual editor for connecting components into flows.
What you can do with it
- Build flows in a drag-and-drop editor and extend them with Python or custom components.
- Run flows through the Langflow API and generate client snippets for Python, JavaScript, and curl.
- Embed flows in websites, expose them through MCP servers, and use the OpenAI Responses-compatible endpoint.
- Work locally with Langflow Desktop or deploy through Docker, Langflow Cloud, or watsonx Orchestrate.
Why it stands out
Langflow combines a visual builder with developer-level escape hatches. The same flow can be edited visually, extended in code, and served through multiple runtime surfaces.
Tradeoffs to know
- IBM lists Langflow Cloud as a private preview, so the cloud side is not a fully public self-serve product.
- Langflow’s telemetry is anonymous, but it is still opt-out rather than absent.
- IBM publishes an enterprise support subscription, but the paid packaging is not shown as a simple public price card.
Changes to this tool page
- April 2026 Initial page created from current official product, docs, pricing, privacy, and company materials.
Sources
- langflow.org
- ibm.com/products/langflow
- docs.langflow.org/luna-for-langflow
- ibm.com/docs/en/esfl
- ibm.com/contact
- docs.langflow.org
- docs.langflow.org/concepts-overview
- docs.langflow.org/concepts-publish
- docs.langflow.org/contributing-how-to-contribute
- langflow.org/desktop
- docs.langflow.org/api-reference-api-examples
- docs.langflow.org/langflow-mcp-client
- docs.langflow.org/contributing-telemetry
- ibm.com/privacy/cc
- ibm.com/trust/privacy
- docs.langflow.org/api/openapi.json