3cd9ba688e* refactor: Update KnowledgeBaseEmptyState component text and structure - Changed header text from "No knowledge bases" to "Welcome to Knowledge Base!" for improved user engagement. - Updated description to clarify the action of creating a knowledge base. - Renamed button text from "Create Knowledge" to "New Knowledge Base" for consistency and clarity. - Reorganized imports for better readability. * [autofix.ci] apply automated fixes * grammar * fix: Reintroduce useParams import and enhance KnowledgeBaseEmptyState description - Added missing import for useParams from react-router-dom. - Updated description text to specify "reusable knowledge bases" for clarity. * [autofix.ci] apply automated fixes * fix: Update KnowledgeBaseEmptyState button text for clarity - Changed button text from "New Knowledge Base" to "New Knowledge Base template" to provide clearer context for users. * feat: Add Array.prototype.toSorted polyfill and update tests for BundleItem and SidebarBundles components - Implemented a polyfill for Array.prototype.toSorted to ensure compatibility in Jest environment. - Updated tests for BundleItem to reflect that the component should render even when dataFilter has no items. - Adjusted SidebarBundles tests to confirm correct rendering behavior with empty dataFilter and provided dataFilter scenarios. --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> |
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| DEVELOPMENT.md | ||
| LICENSE | ||
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Caution
Users must update to Langflow >= 1.3 to protect against CVE-2025-3248.
Langflow is a powerful tool for building and deploying AI-powered agents and workflows. It provides developers with both a visual authoring experience and built-in API and MCP servers that turn every workflow into a tool that can be integrated into applications built on any framework or stack. Langflow comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools.
✨ Highlight features
- Visual builder interface to quickly get started and iterate .
- Source code access lets you customize any component using Python.
- Interactive playground to immediately test and refine your flows with step-by-step control.
- Multi-agent orchestration with conversation management and retrieval.
- Deploy as an API or export as JSON for Python apps.
- Deploy as an MCP server and turn your flows into tools for MCP clients.
- Observability with LangSmith, LangFuse and other integrations.
- Enterprise-ready security and scalability.
⚡️ Quickstart
Langflow requires Python 3.10 to 3.13 and uv.
- To install Langflow, run:
uv pip install langflow -U
- To run Langflow, run:
uv run langflow run
- Go to the default Langflow URL at
http://127.0.0.1:7860.
For more information about installing Langflow, including Docker and Desktop options, see Install Langflow.
📦 Deployment
Langflow is completely open source and you can deploy it to all major deployment clouds. To learn how to use Docker to deploy Langflow, see the Docker deployment guide.
⭐ 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.