4e6c2da0d1* ✨ (index.tsx): Update inputComponent styles to improve UI design and user experience
🐛 (new-api-modal.tsx): Add data-testid attribute to tweaks button for testing purposes
🔧 (publish-flow.spec.ts): Update test cases to improve reliability and readability
📝 (tweaksTest.spec.ts): Refactor test cases to enhance maintainability and clarity
🔧 (nestedComponent.spec.ts): Update test description for clarity and consistency
🐛 (general-bugs-shard-3909.spec.ts): Fix waitForSelector calls to match correct text for improved test accuracy
* 🔧 (use-get-builds-polling-mutation.ts, use-get-builds.ts, use-post-retrieve-vertex-order.tsx): add retry and retryDelay options to improve error handling and resiliency in API queries
🗑️ (generalBugs-shard-2.spec.ts): delete outdated test file for general bugs related to shards in the frontend tests folder
* Revert "ci: fix false positive on ci sucess status (#6868)"
This reverts commit
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Langflow is a powerful tool for building and deploying AI-powered agents and workflows. It provides developers with both a visual authoring experience and a built-in API server that turns every agent into an API endpoint 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 to get started quickly and iterate.
- Access to Code so developers can tweak any component using Python.
- Playground to immediately test and iterate on their flows with step-by-step control.
- Multi-agent orchestration and conversation management and retrieval.
- Deploy as an API or export as JSON for Python apps.
- Observability with LangSmith, LangFuse and other integrations.
- Enterprise-ready security and scalability.
⚡️ Quickstart
Langflow works with Python 3.10 to 3.13.
Install with uv (recommended)
uv pip install langflow
Install with pip
pip install langflow
📦 Deployment
Self-managed
Langflow is completely open source and you can deploy it to all major deployment clouds. Follow this guide to learn how to use Docker to deploy Langflow.
Fully-managed by DataStax
DataStax Langflow is a full-managed environment with zero setup. Developers can sign up for a free account to get started.
⭐ 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.