Gabriel Luiz Freitas Almeida 7ff6b1ae34 chore: fix small typo in grep command (#7353)
* fix: ensure consistent version extraction for langflow-base in workflows

Updated version extraction commands in multiple workflow files to consistently use 'head -n 1' for retrieving the first occurrence of the langflow-base version. This change improves reliability in version detection across docker-build, nightly_build, python_test, release_nightly, and release workflows.

* fix: correct version extraction command in nightly build workflow

Removed an extraneous quote from the version extraction command in the nightly_build.yml workflow file to ensure proper execution and reliability in retrieving the langflow-base version.
2025-03-31 09:44:27 -03:00
2025-03-30 14:50:51 +00:00
2025-03-20 00:05:55 +00:00
2025-03-20 00:05:55 +00:00
2024-06-04 09:26:13 -03:00
2025-03-30 14:50:51 +00:00

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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

  1. Visual Builder to get started quickly and iterate.
  2. Access to Code so developers can tweak any component using Python.
  3. Playground to immediately test and iterate on their flows with step-by-step control.
  4. Multi-agent orchestration and conversation management and retrieval.
  5. Deploy as an API or export as JSON for Python apps.
  6. Observability with LangSmith, LangFuse and other integrations.
  7. 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.

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👋 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.


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Description
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Readme MIT 2.3 GiB
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Python 64.5%
TypeScript 23.4%
JavaScript 11.4%
CSS 0.3%
Makefile 0.2%
Other 0.1%