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* feat: hide advanced fields in InspectionPanel for File and SplitText components - Add hidden-fields.ts to suppress advanced/deprecated fields from the InspectionPanel UI without removing backend functionality - Hide silent_errors, delete_server_file_after_processing, ignore_unsupported_extensions, ignore_unspecified_files, pipeline, md_image_placeholder, md_page_break_placeholder, doc_key, and use_multithreading for the File (Read File) component - Hide keep_separator for the SplitText component - Replace deprecated use_multithreading branch with max(1, self.concurrency_multithreading) to preserve default behaviour * feat: wire HIDDEN_FIELDS into InspectionPanelFields filter logic Import HIDDEN_FIELDS map and apply it in both the edit-mode and normal-mode field filters. Also suppress the APIRequest body field when method is GET. * [autofix.ci] apply automated fixes * [autofix.ci] apply automated fixes (attempt 2/3) * feat: hide tool_placeholder input in Prompt Template component Set show=False on the tool_placeholder input so it does not appear in the UI while retaining tool mode functionality. * [autofix.ci] apply automated fixes * feat: hide include_metadata field for DynamicCreateData in InspectionPanel * [autofix.ci] apply automated fixes * fix: add trailing newline to component_index.json The build_component_index.py script was generating component_index.json without a trailing newline, causing CI failures when autofix.ci tried to add the missing newline. This fix ensures the generated JSON file always ends with a newline character, following POSIX text file standards. Fixes the 'No newline at end of file' error in the update-component-index workflow job. * [autofix.ci] apply automated fixes * [autofix.ci] apply automated fixes * fix: add trailing newline to component_index.json The build_component_index.py script was generating component_index.json without a trailing newline, causing CI failures when autofix.ci tried to add the missing newline. This fix ensures the generated JSON file always ends with a newline character, following POSIX text file standards. Fixes the 'No newline at end of file' error in the update-component-index workflow job. * [autofix.ci] apply automated fixes --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: vijay kumar katuri <vijay.katuri@ibm.com>
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.