0b4e186f7b
fix(ci): anchor langflow-base version extraction in nightly docker build
The first nightly on the 1.11 workspace (tag v1.11.0.dev0, run
27253229568) failed in Build Nightly Base Package within seconds:
'Base version format is incorrect'. The extraction (uv tree, grep
langflow-base unanchored, awk field 3, first line) broke because uv
tree now prints the langflow-base workspace-root line
('langflow-base v1.11.0.dev0', two fields) before any dependency line
('langflow-base[complete] v1.11.0.dev0' under the langflow root, three
fields), so the first match yields an empty field 3 and the format
check exits 1. uv tree's stderr is discarded, which made the real
cause invisible in CI.
Anchor to the root line and take field 2 instead - the exact pattern
the langflow (main package) extraction in this same file already uses,
which is why the main-package builds passed on the same tag. Verified
both extractions print 1.11.0.dev0 against a local checkout of
v1.11.0.dev0.
Langflow is a powerful platform 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.
🖥️ Langflow Desktop
Langflow Desktop is the easiest way to get started with Langflow. All dependencies are included, so you don't need to manage Python environments or install packages manually. Available for Windows and macOS.
⚡️ Quickstart
Install locally (recommended)
Requires Python 3.10–3.14 and uv (recommended package manager).
Install
From a fresh directory, run:
uv pip install langflow -U
The latest Langflow package is installed. For more information, see Install and run the Langflow OSS Python package.
Run
To start Langflow, run:
uv run langflow run
Langflow starts at http://127.0.0.1:7860.
That's it! You're ready to build with Langflow! 🎉
📦 Other install options
Run from source
If you've cloned this repository and want to contribute, run this command from the repository root:
make run_cli
For more information, see DEVELOPMENT.md.
Docker
Start a Langflow container with default settings:
docker run -p 7860:7860 langflowai/langflow:latest
Langflow is available at http://localhost:7860/. For configuration options, see the Docker deployment guide.
🛡️ Security
For security information, see our Security Policy.
🚀 Deployment
Langflow is completely open source and you can deploy it to all major deployment clouds. To learn how to deploy Langflow, see our Langflow deployment guides.
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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.