Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
3de42f4575* Update sqlmodel dependency to version 0.0.20 in pyproject.toml * Handle UUID conversion for message IDs in memory update logic * Refactor Alembic migrations to use `sa.inspect` and update GUID to Uuid type * refactor: Change flow_id parameter type from str to uuid.UUID in graph building functions * refactor: Ensure UUID handling for flow_id and user_id across various services and models * refactor: improve UUID handling and graph caching for compatibility with sqlmodel 0.0.20 * fix: update message assertion in component events test * chore: update sqlmodel dependency to version 0.0.22 in uv.lock and pyproject.toml * fix: enhance flow_id validation to ensure valid UUID format in MessageBase model * fix: add error handling for cache directory cleanup * refactor: improve flow_id type handling in message storage * refactor: enhance flow_id handling in message functions to support UUID type * refactor: integrate Properties into message creation in component event tests * update test durations * fix: correct flow_id parameter in database query * refactor: update session_id and flow_id parameters to support UUID type across message handling functions and models * fix: handle message data update in SQLModel update method * refactor: improve flow_id assignment in message update method to enhance UUID handling |
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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.
📦 Quickstart
- Install with uv (Python 3.10 to 3.12):
uv pip install langflow
- Install with pip (Python 3.10 to 3.12):
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.
⭐ 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.