Langflow
by Langflow (IBM DataStax)
Low-code builder for agentic and RAG applications
Reviewed by the the30top research team · Last reviewed 2026-10-27
Overview
Langflow lets developers assemble agents and RAG pipelines on a visual canvas and extend components in Python, working with any LLM or vector database. It originated at Logspace, was acquired by DataStax, and IBM then moved to acquire DataStax, which gives it a large backer but also means roadmap decisions sit inside a bigger company. Hosted pricing is not clearly published on its site, and it is oriented to developers rather than business users.
Our verdict
A solid open-source choice for developer teams building RAG-heavy agents. Business users will find simpler tools easier to adopt.
Best for
Developers who want a visual, open-source way to build RAG and agent apps in Python.
Avoid if
You need published hosted pricing and a fully managed no-code experience.
Pros
- Open source and Python-extensible
- Works with any LLM or vector database
- Backed by IBM through DataStax
Cons
- Hosted pricing is unclear
- Developer-oriented rather than business-user friendly
- Roadmap sits inside a larger vendor
Key capabilities
Frequently asked questions
What is Langflow?
A low-code AI builder for agentic and retrieval-augmented generation applications, with Python extensibility.
Who owns Langflow?
Langflow came from Logspace, which DataStax acquired. IBM then moved to acquire DataStax.
Is Langflow free?
It is an open-source project, so you can self-host it. Hosted pricing is not published on its website.