b2a3162b60
* add plugin to load routes * Update src/backend/base/langflow/main.py Co-authored-by: Gabriel Luiz Freitas Almeida <[email protected]> * Update src/backend/base/langflow/main.py Co-authored-by: Gabriel Luiz Freitas Almeida <[email protected]> * avoid overwriting exisiting routes * [autofix.ci] apply automated fixes * [autofix.ci] apply automated fixes (attempt 2/3) * Create tables needed for SSO * update migration phase * update sso path and fix ruff errors * resolve review comments * add more tests * [autofix.ci] apply automated fixes * fix ruff errors * [autofix.ci] apply automated fixes * fix ruff errors * fix: reduce Node.js heap size to 4GB in Docker builds to prevent OOM The Vite frontend build was configured with --max-old-space-size=12288 (12GB), which exceeds available RAM on ARM64 CI runners, causing the build process to be OOM-killed during the transform phase. Reduced to 4GB (4096MB) which is sufficient for the Vite build and prevents OOM kills in memory-constrained Docker BuildKit environments. * fix: avoid redundant recursive chown on /app in backend Dockerfile The recursive chown -R on /app was re-owning the entire .venv (~2.6GB, 40k+ files) which was already correctly owned via COPY --chown=1000:0. This was causing the build to be killed on ARM64 runners. Changed to non-recursive chown on /app since only the directory itself needs ownership set. /app/data still gets recursive chown (it's empty). * fix: add Docker cleanup between image builds to prevent disk full The 40GB ARM64 runner runs out of disk when building 3 Docker images sequentially. Each image (main ~8GB layers, backend ~5GB, frontend) accumulates build cache and layers that exhaust the disk. Added cleanup steps between builds that: - Remove the tested image (no longer needed) - Prune all unused Docker data and buildx cache - Log disk usage before/after for debugging --------- Co-authored-by: Gabriel Luiz Freitas Almeida <[email protected]> Co-authored-by: Hanzo Dev <[email protected]> Co-authored-by: vijay kumar katuri <[email protected]>
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.
Caution
- Users must update to Langflow >= 1.7.1 to protect against CVE-2025-68477 and CVE-2025-68478.
- Langflow version 1.7.0 has a critical bug where persisted state (flows, projects, and global variables) cannot be found when upgrading. Version 1.7.0 was yanked and replaced with version 1.7.1, which includes a fix for this bug. DO NOT upgrade to version 1.7.0. Instead, upgrade directly to version 1.7.1.
- Langflow versions 1.6.0 through 1.6.3 have a critical bug where
.envfiles are not read, potentially causing security vulnerabilities. DO NOT upgrade to these versions if you use.envfiles for configuration. Instead, upgrade to 1.6.4, which includes a fix for this bug.- Windows users of Langflow Desktop should not use the in-app update feature to upgrade to Langflow version 1.6.0. For upgrade instructions, see Windows Desktop update issue.
- Users must update to Langflow >= 1.3 to protect against CVE-2025-3248
- Users must update to Langflow >= 1.5.1 to protect against CVE-2025-57760
For security information, see our Security Policy and Security Advisories.
🚀 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.