Langflow

by DataStax, an IBM company

🟑Acquired / Merged

Langflow is an open-source, Python-based platform for visually building and deploying AI workflows and agents. Its node-based interface connects models, prompts, tools, vector stores, data sources, and APIs.

Visual AI agent builderFounded by Rodrigo Nader, Gabriel Almeida, and Carlos CoelhoVisit website β†’
πŸ” Last checked: 8/28/2026 Β· Confidence: 96%

Acquisition Details

DataStax announced its acquisition of Langflow in April 2024. Langflow continues to be developed as an open-source project and offered through DataStax products; IBM completed its acquisition of DataStax in May 2025.

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πŸ“… Timeline

2023-02-09

Langflow project launched

Langflow's GitHub repository records its first release, version 0.0.1, establishing the open-source visual interface for composing language-model workflows.

2024-04-02

DataStax acquired Langflow

DataStax announced that it had acquired Langflow to add a visual framework for building generative-AI applications and retrieval-augmented generation workflows.

2024-06-18

Langflow 1.0 released

DataStax announced Langflow 1.0, describing it as a stable open-source release for building generative-AI applications through visual flows and Python customization.

2025-05-20

IBM completed its acquisition of DataStax

IBM completed its acquisition of DataStax, bringing DataStax and the acquired Langflow project into IBM.

πŸ”„ Alternatives to Langflow

❓ Frequently Asked Questions

What is Langflow used for?

Langflow is used to visually assemble, test, and deploy AI workflows and agents. Users connect components for language models, prompts, tools, memory, vector databases, retrieval, and external APIs in a node-based canvas.

Is Langflow open source and free?

Yes. Langflow's source code is publicly available under the MIT License, so it can be run and modified without a software license fee. Hosted infrastructure, third-party models, databases, and APIs may still incur costs.

Does Langflow require coding?

Not for every workflow: many applications can be assembled with visual components. Python knowledge is useful for creating custom components, debugging integrations, and deploying more complex systems.

Can Langflow build RAG applications and AI agents?

Yes. Langflow supports retrieval-augmented generation pipelines and agent workflows by connecting models with data loaders, embeddings, vector stores, retrievers, memory, and callable tools.

Who owns Langflow now?

DataStax acquired Langflow in April 2024. IBM completed its acquisition of DataStax in May 2025, so Langflow now sits within DataStax, an IBM company, while remaining an open-source project.