Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
050230cad1* fix: ensure foreign key constraints are only dropped if they exist in upgrade script
* Updated the upgrade function to check for the existence of foreign key constraint names before attempting to drop them in the message, transaction, and vertex_build tables, enhancing robustness and preventing potential errors during migration.
* refactor: streamline foreign key constraint removal in upgrade script
* Simplified the upgrade function by directly dropping foreign key constraints for the message, transaction, and vertex_build tables without checking for their existence, enhancing code clarity and maintainability.
* feat: introduce naming convention for database constraints in Alembic environment
* Added a naming convention dictionary to standardize the naming of indexes, unique constraints, check constraints, foreign keys, and primary keys in the Alembic migration environment, enhancing consistency and clarity in database schema management.
* refactor: enhance foreign key constraint management in upgrade and downgrade scripts
* Updated the upgrade function to recreate the message, transaction, and vertex_build tables without foreign key constraints, preserving data integrity during migration.
* Improved the downgrade function to restore these tables with the appropriate foreign key constraints, ensuring consistency in the database schema.
* Introduced a naming convention for database constraints to standardize naming across migrations.
* refactor: update table schema in Alembic migration for improved data handling
* Modified the schema for the message, transaction, and vertex_build tables to enhance data integrity by changing column types and adding new fields.
* Updated data insertion queries to use quoted identifiers, preventing potential issues with SQL keywords.
* Ensured that the upgrade and downgrade functions maintain consistency in the database schema during migrations.
* refactor: enhance data insertion logic in Alembic migration scripts
* Updated data insertion queries for the message, transaction, and vertex_build tables to explicitly list columns and filter out rows with NULL IDs, improving data integrity during migrations.
* Utilized window functions to ensure uniqueness of build_id across different database systems, enhancing compatibility and robustness.
* Maintained consistency in upgrade and downgrade functions to ensure seamless schema transitions.
* Revert "Revert "fix: published flows now can add rows to the database" (#7571)"
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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
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