0f7c220b3d
* fix(security): HMAC-sign RedisCache payloads before dill deserialization RedisCache.get() called dill.loads() directly on bytes read from Redis. dill executes embedded reduce gadgets, so anyone able to write under the langflow:cache: namespace (a co-tenant on a shared Redis, an exposed/un-ACL'd port, etc.) could plant a payload that runs arbitrary code in the Langflow process on the next get() (CWE-502, RCE). Cache values are now prefixed with an HMAC-SHA256 tag derived from the server SECRET_KEY. get() verifies the tag with hmac.compare_digest before deserializing; unsigned/tampered/legacy entries are treated as a cache miss and never passed to dill.loads(). Only active when LANGFLOW_CACHE_TYPE=redis. * [autofix.ci] apply automated fixes * [autofix.ci] apply automated fixes (attempt 2/3) * Update src/backend/base/langflow/services/cache/service.py Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com> * fix: redis payload rejection * test(cache): cover short-payload integrity short-circuit; align settings deps import Address review feedback on the RedisCache HMAC integrity fix: - Import get_settings_service from langflow.services.deps to match the rest of services/ and keep the non-optional SettingsService return type (the lfx variant is SettingsServiceProtocol | None and the next line dereferences .auth_settings without a guard). - Add test_get_rejects_payload_shorter_than_tag covering the len(value) < _HMAC_DIGEST_SIZE short-circuit in get() (a 1-byte write under the namespace is the cheapest attacker input and was previously uncovered). --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.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 3.10–3.14 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.