Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
0d796db02c* feat: Add skipFallback parameter to ForwardedIconComponent This commit adds a new skipFallback parameter to the ForwardedIconComponent in the genericIconComponent module. The skipFallback parameter allows developers to skip rendering the fallback component when using Suspense. This can be useful in cases where the fallback component is not needed or should be handled differently. * feat: Add skipFallback parameter to IconComponentProps * feat: Add skipFallback parameter to IconComponentProps and ForwardedIconComponent This commit adds the skipFallback parameter to the IconComponentProps and ForwardedIconComponent. This parameter allows skipping the fallback icon rendering when the specified icon is not found. The skipFallback parameter is used in the ParentDisclosureComponent to conditionally render the chevron-down or chevron-right icon based on the component's state. The commit also updates the defaultOpen value in the ParentDisclosureComponent in the ExtraSidebarComponent. The defaultOpen value is set to true, ensuring that the "Integrations" section is always expanded when the component is rendered. * refactor: Update ExtraSidebarComponent layout and styling * [autofix.ci] apply automated fixes * move file * move file * move file * move file * move file * Update NotionLogo size * Update size of AssemblyAI logo * Update colors and names for AssemblyAI in styleUtils.ts * Update BUNDLES_SIDEBAR_FOLDER_NAMES in constants.ts * [autofix.ci] apply automated fixes * add changes from pr #3934 * chore: add cache.db to .gitignore --------- 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 pip (Python 3.10 or greater):
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.