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* docs:add-changelog-to-nav * docs: add OpenRouter component documentation with detailed inputs and outputs * docs: add Outputs section to components-models documentation for Cohere and Ollama * docs: update references from configuration-objects to concepts-objects across multiple components and documentation files * feat: Add DataFrame operations section to components-processing documentation * title-case-in-nav * fix-memories-tab-in-chat-memory * tool-calling-agent-update * feat: enhance documentation with icon imports and improved instructions for OpenAI component * material-icon * fix: update documentation for tool mode input connection in agent component * add-loop-component * add-img-for-loop-summary * feat: add documentation for using logic components in a flow with examples * fix: enhance documentation for Loop component with detailed data flow explanation * redirect-for-config-objects-page * fix: improve error handling in data processing module * fix: update documentation for Data objects in Loop component and add import statement in memory chatbot tutorial * quickstart-screenshots * docs: update starter flow images * update-agent-screenshots * move-repl-agent * docs: enhance global variables documentation and clarify prerequisites for vector store RAG flow * docs: update Simple Agent to use URL component * docs: enhance memory chatbot tutorial with example conversation and clarify session ID terminology * docs: update visibility icon description in concepts-components.md * Apply suggestions from code review Co-authored-by: brian-f <brian.fisher@datastax.com> * correct-playground-sequence-and-typo --------- Co-authored-by: brian-f <brian.fisher@datastax.com>
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
Docs - Free Cloud Service - Self Managed
✨ Core features
- Python-based and agnostic to models, APIs, data sources, or databases.
- Visual IDE for drag-and-drop building and testing of workflows.
- Playground to immediately test and iterate workflows with step-by-step control.
- Multi-agent orchestration and conversation management and retrieval.
- Free cloud service to get started in minutes with no setup.
- Publish as an API or export as a Python application.
- Observability with LangSmith, LangFuse, or LangWatch integration.
- Enterprise-grade security and scalability with free DataStax Langflow cloud service.
- Customize workflows or create flows entirely just using Python.
- Ecosystem integrations as reusable components for any model, API or database.
📦 Quickstart
- Install with uv (recommended) (Python 3.10 to 3.12):
uv pip install langflow
- Install with pip (Python 3.10 to 3.12):
pip install langflow
- Cloud: DataStax Langflow is a hosted environment with zero setup. Sign up for a free account.
- Self-managed: Run Langflow in your environment. Install Langflow to run a local Langflow server, and then use the Quickstart guide to create and execute a flow.
- Hugging Face: Clone the space using this link to create a Langflow workspace.
⭐ Stay up-to-date
Star Langflow on GitHub to be instantly notified of new releases.
👋 Contribute
We welcome contributions from developers of all levels. If you'd like to contribute, please check our contributing guidelines and help make Langflow more accessible.