5c40410f00* refactor: improve output selection logic and edge updating in GenericNode * feat: enhance output rendering logic for loop and conditional components * feat: add group_outputs flag to output components for enhanced display control * feat: enhance output handling by adding support for hidden outputs in NodeOutputs component * fix: update display output logic to handle tool mode correctly * fix: improve output selection logic in NodeOutputs component * refactor: simplify output selection logic in OutputComponent and GenericNode * refactor: remove commented code and clean up unused memoization in various components * refactor: clean up NodeOutputs component by removing commented code and simplifying output logic * [autofix.ci] apply automated fixes * feat: add group_outputs field to test_output in schema tests * test: Skip grouped components output preview test and add wait times for stability * fix: remove 'group_outputs' property from multiple starter project JSON files * Revert starter_projects folder to main branch state * Revert starter_projects folder to match origin/main exactly * Re-sync starter_projects folder with main branch after merge conflict * Add "group_outputs" property to various agent configurations * test: skip progress tracking test for admin users * test: enable progress tracking for admin users and improve component interaction * test: remove redundant dropdown interaction and enhance multi-select functionality --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> |
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| docker_example | ||
| docs | ||
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| test-results | ||
| .composio.lock | ||
| .env.example | ||
| .eslintrc.json | ||
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| .pre-commit-config.yaml | ||
| CODE_OF_CONDUCT.md | ||
| CONTRIBUTING.md | ||
| DEVELOPMENT.md | ||
| eslint.config.js | ||
| LICENSE | ||
| Makefile | ||
| pyproject.toml | ||
| README.md | ||
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| 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.