629a6d2837* ♻️ (components.py): refactor get_and_cache_all_types_dict function to filter out base components path and only load custom components for traditional full loading. This improves code readability and maintainability. * ✨ (test_component_loading_fix.py): Add tests for the component loading fix that filters out BASE_COMPONENTS_PATH from custom components. * [autofix.ci] apply automated fixes * 🐛 (test_component_loading_fix.py): remove unnecessary test case for GitHub issue #8967 and fix test_component_merging_logic method to handle custom component loading failure properly ♻️ (test_component_loading_fix.py): refactor test_component_loading_fix.py to improve readability and remove redundant try-except block in test_component_merging_logic * [autofix.ci] apply automated fixes * ♻️ (components.py): refactor _process_single_module function to simplify create_component_template call and improve code readability ♻️ (components.py): refactor _determine_loading_strategy function to handle component loading strategy based on lazy_load_components setting and improve code structure * 📝 (components.py): add comments and improve readability in _process_single_module function ✨ (components.py): introduce _determine_loading_strategy function to determine and execute the appropriate component loading strategy based on settings service --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> |
||
|---|---|---|
| .cursor | ||
| .devcontainer | ||
| .github | ||
| .vscode | ||
| deploy | ||
| docker | ||
| docker_example | ||
| docs | ||
| scripts | ||
| src | ||
| test-results | ||
| .coderabbit.yaml | ||
| .composio.lock | ||
| .env.example | ||
| .eslintrc.json | ||
| .gitattributes | ||
| .gitignore | ||
| .pre-commit-config.yaml | ||
| CODE_OF_CONDUCT.md | ||
| codecov.yml | ||
| CONTRIBUTING.md | ||
| DEVELOPMENT.md | ||
| LICENSE | ||
| Makefile | ||
| Makefile.frontend | ||
| pyproject.toml | ||
| README.md | ||
| render.yaml | ||
| SECURITY.md | ||
| uv.lock | ||
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.