349e78c758
* fix: preserve resource-specific conflict mapping in wxo deployment flow - rename DeploymentConflictError to ResourceConflictError (with a backward-compatible alias) and propagate resource/resource_name across deployment error handling - extend raise_for_status_and_detail to accept explicit conflict hints and only infer resource/resource_name from provider detail as a fallback - update deployment mappers/helpers to use resource/resource_name and format conflict details from structured fields - add explicit conflict metadata at known wxo catch/re-raise points (connection/tool/agent paths) and enforce hint passing through raise_as_deployment_error - prevent create/update top-level handlers from over-tagging conflicts as agent when downstream errors are tool/connection conflicts - centralize create-agent provider error translation via raise_as_deployment_error - add/adjust unit tests for route handlers, mapper conflict formatting, wxo service conflict propagation, and lfx deployment exception behavior (including Simple_Agent regression) * remove DeploymentConflictError shim * pass resource_name only on creation paths * allow None * fix(deployments): simplify conflict mapping and tighten error handling Remove conflict-hint inference fallback, keep pass-through conflict detail formatting, tighten ClientAPIException status extraction, and drop temporary debug prints in deployment error paths. * fix(deployments): simplify conflict hint mapping and align test expectations Remove redundant conflict-hint normalization in deployment exceptions, clarify base mapper conflict-detail docs, and improve invalid flow-version guidance. Update watsonx deployment tests to assert current service-layer conflict/resource and exception-chain behavior. * get rid of tool name fallbacks * hard code fallback message
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 3.10–3.13 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.
⭐ 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.