Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
* categoring tests * ✨ (actionsMainPage-shard-1.spec.ts): Add end-to-end tests for selecting and deleting items, searching flows, and searching components on the main page to ensure proper functionality and user experience. * 📝 (frontend/tsconfig.json): update file paths in include section to match the correct directory structure for scheduled-end-to-end tests. * 🔧 (typescript_test.yml): update path in the command to change directory to run end-to-end tests in the frontend folder 📝 (typescript_test.yml): improve comments for better readability and understanding of the workflow logic * add yml configuration to choose folder to run CI * 🔧 (ci.yml): Fix formatting issues and add support for running tests in a specific folder 📝 (ci.yml): Update job dependencies to improve readability and maintainability of the workflow configuration * ♻️ (typescript_test.yml): refactor matrix values for shardIndex and shardTotal to reduce redundancy and improve readability * categoring tests * ✨ (actionsMainPage-shard-1.spec.ts): Add end-to-end tests for selecting and deleting items, searching flows, and searching components on the main page to ensure proper functionality and user experience. * 📝 (frontend/tsconfig.json): update file paths in include section to match the correct directory structure for scheduled-end-to-end tests. * 🔧 (typescript_test.yml): update path in the command to change directory to run end-to-end tests in the frontend folder 📝 (typescript_test.yml): improve comments for better readability and understanding of the workflow logic * add yml configuration to choose folder to run CI * 🔧 (ci.yml): Fix formatting issues and add support for running tests in a specific folder 📝 (ci.yml): Update job dependencies to improve readability and maintainability of the workflow configuration * ♻️ (typescript_test.yml): refactor matrix values for shardIndex and shardTotal to reduce redundancy and improve readability * 🐛 (fileUploadComponent.spec.ts): fix file path for file upload to correctly locate the test file in the assets folder * changing test_folder * ✨ (fileUploadComponent.spec.ts): update file path for file upload test to match new file location in the project structure * fix input on playwright command |
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| .github | ||
| .vscode | ||
| deploy | ||
| docker | ||
| docker_example | ||
| docs | ||
| scripts | ||
| src | ||
| .env.example | ||
| .eslintrc.json | ||
| .gitattributes | ||
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| .pre-commit-config.yaml | ||
| CODE_OF_CONDUCT.md | ||
| CONTRIBUTING.md | ||
| eslint.config.js | ||
| LICENSE | ||
| Makefile | ||
| poetry.lock | ||
| pyproject.toml | ||
| README.ja.md | ||
| README.KR.md | ||
| README.md | ||
| README.PT.md | ||
| README.zh_CN.md | ||
| render.yaml | ||
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.
⭐ Stay up-to-date
Star Langflow on GitHub to be instantly notified of new releases.
📦 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.
👋 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.
