* ✨ (use-handle-new-value.ts): add debounce functionality to handleOnNewValue function to improve performance and prevent excessive API calls 🔧 (use-post-template-value.ts): update usePostTemplateValue function options to set retry to 0 and prevent automatic retries on API call failures * 🐛 (use-handle-new-value.ts): fix condition to check if value length is greater than 10 before updating node state * 🐛 (use-handle-new-value.ts): fix condition to update node state based on changes in value to ensure correct behavior and remove unnecessary length check on value array * ✨ (use-handle-new-value.ts): introduce constant DEBOUNCE_TIME_1_SECOND for better readability and maintainability of debounce time * 🔧 (use-handle-new-value.ts): update debounce time from 1 second to 2 seconds for better user experience and performance. * ✨ (use-handle-new-value.ts): introduce DEBOUNCE_FIELD_LIST constant to handle debouncing for specific input types ♻️ (use-handle-new-value.ts): refactor DEBOUNCE_TIME_2_SECONDS constant to DEBOUNCE_TIME_1_SECOND for better consistency and readability * 🐛 (use-handle-new-value.ts): fix debounce time constant value to 2 seconds for better performance and user experience * 🐛 (use-handle-new-value.ts): fix debounce time constant value from 2 seconds to 1 second for better user experience |
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| .devcontainer | ||
| .github | ||
| .vscode | ||
| deploy | ||
| docker | ||
| docker_example | ||
| docs | ||
| scripts | ||
| src | ||
| test-results | ||
| .env.example | ||
| .eslintrc.json | ||
| .gitattributes | ||
| .gitignore | ||
| .pre-commit-config.yaml | ||
| CODE_OF_CONDUCT.md | ||
| CONTRIBUTING.md | ||
| DEVELOPMENT.md | ||
| eslint.config.js | ||
| LICENSE | ||
| Makefile | ||
| pyproject.toml | ||
| README.md | ||
| render.yaml | ||
| uv.lock | ||
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.