Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
6bf60ece71* chore: add jest-junit dependency for improved test reporting - Updated package.json and package-lock.json to include jest-junit version 16.0.0, enhancing test reporting capabilities in the project. * chore: enhance Jest configuration for improved test coverage and CI reporting - Added coverage collection settings, including coverage thresholds and report formats. - Configured CI-specific options for Jest, including the use of jest-junit for test reporting and adjusted worker settings for better performance in CI environments. * chore: update frontend test command for CI mode to ensure proper environment variable usage - Modified the test command in the Makefile to set CI=true for accurate test execution in CI environments. * chore: enhance frontend CI workflow with test reporting and coverage uploads - Replaced the frontend dependency installation step with a command to run unit tests in CI mode. - Added steps to publish test results using junit report and to comment on pull requests with coverage summaries. - Implemented artifact upload for coverage reports to improve visibility and tracking of test coverage over time. * chore: add frontend dependency installation step to CI workflow - Introduced a step to install frontend dependencies using npm ci in the GitHub Actions workflow. - This enhancement ensures that all necessary packages are available before running frontend unit tests, improving the reliability of the CI process. * chore: update junit report action version in CI workflow - Upgraded the junit report action from v5 to v5.5.1 in the GitHub Actions workflow to leverage the latest features and improvements for test result reporting. * chore: add Jest unit test workflow for frontend - Introduced a new GitHub Actions workflow to run Jest unit tests for the frontend. - The workflow includes steps for checking out the repository, setting up the Node.js environment, running tests, publishing test results, adding coverage comments on pull requests, and uploading coverage reports. - This enhancement improves the CI process by ensuring comprehensive testing and reporting for frontend components. * chore: integrate Jest unit tests into CI workflow - Added a new job to the CI workflow to run frontend unit tests using Jest. - Updated the changes filter to include Jest test files, ensuring they are recognized during the CI process. - This enhancement improves the testing coverage and reliability of the frontend components. |
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| .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 | ||
| CONTRIBUTING.md | ||
| DEVELOPMENT.md | ||
| eslint.config.js | ||
| 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.