48c2e19d23
restrict_local_file_access confined reads to config_dir, but config_dir IS the storage dir AND holds the server-managed secrets as siblings of the per-flow upload subdirs: secret_key (Fernet master key), private_key.pem / public_key.pem (JWT signing keys), and the SQLite DB (save_db_in_config_dir). A tenant File-component input of "<flow>/../secret_key" routed through build_full_path (no '..' check) resolved back to <config_dir>/secret_key, passed the is_relative_to(config_dir) boundary, and was read -- disclosing the key that decrypts every tenant's stored credentials. The control thus failed its own stated goal under the very multi-tenant mode it adds. enforce_local_file_access now denies the exact config_dir locations of secret_key / private_key.pem / public_key.pem and the sqlite DB derived from database_url (including the -wal / -shm / -journal sidecars that hold the same row data, and the async sqlite+aiosqlite:/// + ?query URL forms), even though they resolve inside the boundary. Matched at exact location only, not by basename, so a tenant upload that merely shares a reserved name inside a flow subdir stays readable. Fails safe on non-sqlite / empty / unavailable settings. Known limitation (tracked separately): this does not scope reads per tenant, so cross-tenant reads of <config_dir>/<other_flow_id>/<file> uploads remain possible and need per-user/per-flow scoping in a follow-up. Tests: reserved file blocked, traversal-to-reserved blocked, DB + WAL/SHM/ journal sidecars blocked, async+query URL blocked, same-named upload in a flow subdir still allowed.
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.
⭐ 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.