Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
* refactor: Update toolset configuration display name and description This commit updates the display name and description of the toolset configuration in the custom component. The display name is changed to "Edit tools" and the description is modified to "Modify tool names and descriptions to help agents understand when to use each tool." This improves the clarity and usability of the toolset configuration. * refactor: Update table modal header description handling * refactor: Add EditMode.POPOVER option to table schema * refactor: Add EditMode.POPOVER option to table schema * refactor: Add table icon to table schema and components * add style for not editable cells * Add "commands" field to tool table schema * refactor: Add "no_blank" and "valid_csv" field parsers - Added "no_blank" field parser to remove leading and trailing whitespace from strings and throw an error if the string is blank. - Added "valid_csv" field parser to replace whitespace with commas in strings. * refactor: Add commands to tool description in ComponentToolkit * refactor: Improve parsing of commands in validCommands function * Update src/frontend/src/utils/stringManipulation.ts Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * [autofix.ci] apply automated fixes * add support for hints on table header * update descriptions on tool table * [autofix.ci] apply automated fixes --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> |
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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.

