Langflow 1.0 is out… with a Cloud Service!
It’s official! 🚀 Langflow 1.0 is launched, along with a new cloud service
When we started Langflow, our idea was that AI development needed to offer developers more accessibility, interactivity, and control.
After months of development and feedback, today we have released Langflow 1.0, a powerful visual framework for building AI applications and multi-model agents — open-source, Python-powered and agnostic.
It’s been a great journey, fueled by your ideas and support. Let’s dive in!
1.0 Release
Langflow 1.0 brings more flexible, modular components and the complex flows required for more advanced RAG techniques and multi-agent architectures. Langflow is now much more than a showroom of pre-built AI components; it’s the manufacturing plant!
This release delivers the fundamental building blocks required to create, customize, and share your own reusable AI components. It brings control over advanced AI pipelines with a variety of models, data sources, and APIs.
Along those lines, there are more affordances to manage model conversation sessions, and to start, stop, and introspect every step of flow execution. Read all about it in our documentation!
Langflow in the Cloud
For many months we’ve been asked when Langflow will be available in the cloud, and now that day is here!
Today we are launching a new hosted Langflow service provided by DataStax. If you want to skip the installation and start building in seconds, this is the way to go!
DataStax Langflow is free to use and remains agnostic to any database, data source, or API.
Sign up for a free account here and try out the Quickstart!
LangSmith Integration
Just 1️⃣ more thing!
Langflow 1.0 is now integrated with LangSmith, a full-lifecycle DevOps service from LangChain that provides monitoring and observability. Just add your LangChain API key as an environment variable and you are good to go!
Read more about it in our LangSmith Integration docs page.
Thank you!
We are excited and humbled to be on this journey with you! We ❤️ and need your feedback — join the community on Discord and GitHub!
Sincerely,
The Langflow Team
