Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
* 📝 (select-custom.tsx): Update styling in SelectItem component to improve consistency and readability 📝 (nodeToolbarComponent/index.tsx): Refactor SelectItem components to include consistent width styling for better alignment and visual appeal * ✨ (nodeToolbarComponent/index.tsx): Center align select items by adding 'm-auto' class to improve visual presentation. * ✨ (GenericNode/index.tsx): Add functionality to toggle show more options in GenericNode component 🔧 (nodeToolbarComponent/index.tsx): Pass setOpenShowMoreOptions function to toggle show more options in NodeToolbarComponent 📝 (components/index.ts): Update nodeToolbarPropsType to include setOpenShowMoreOptions function for better type checking * ✨ (nodeToolbarComponent/index.tsx): Update styles and dimensions for better UI consistency and alignment in the Node Toolbar Component. * 🔧 (nodeToolbarComponent/index.tsx): Remove unnecessary 'm-auto' class from SelectItem components to improve code readability and reduce redundancy. * 📝 (select-custom.tsx): Update styling in SelectItem component to improve consistency and readability 📝 (nodeToolbarComponent/index.tsx): Refactor SelectItem components to include consistent width styling for better alignment and visual appeal * ✨ (nodeToolbarComponent/index.tsx): Center align select items by adding 'm-auto' class to improve visual presentation. * ✨ (GenericNode/index.tsx): Add functionality to toggle show more options in GenericNode component 🔧 (nodeToolbarComponent/index.tsx): Pass setOpenShowMoreOptions function to toggle show more options in NodeToolbarComponent 📝 (components/index.ts): Update nodeToolbarPropsType to include setOpenShowMoreOptions function for better type checking * ✨ (nodeToolbarComponent/index.tsx): Update styles and dimensions for better UI consistency and alignment in the Node Toolbar Component. * 🔧 (nodeToolbarComponent/index.tsx): Remove unnecessary 'm-auto' class from SelectItem components to improve code readability and reduce redundancy. * ✨ (actionsMainPage-shard-1.spec.ts): Update test descriptions to use "Document Q&A" instead of "Document QA" for consistency 📝 (Basic Prompting.spec.ts, Blog Writer.spec.ts, Document QA.spec.ts, Dynamic Agent.spec.ts, Hierarchical Agent.spec.ts, Memory Chatbot.spec.ts, Sequential Task Agent.spec.ts, Simple Agent.spec.ts, Travel Planning Agent.spec.ts, Vector Store.spec.ts): Remove 'skip' from test descriptions to enable running the tests. * 🔧 (typescript_test.yml): Update shardIndex and shardTotal values to run tests on a single shard for simplicity 📝 (typescript_test.yml): Comment out unused test commands to improve readability and reduce confusion ✅ (starter-projects.spec.ts): Remove skip from test case to ensure it is executed as intended |
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| README.ES.md | ||
| README.ja.md | ||
| README.KR.md | ||
| README.md | ||
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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.
