Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
c7f6554ea0The RFC 7578 spec for multipart/form-data requests does not require the body of a request to end with a CRLF, only that each section begins with a CRLF. While many clients implement multipart requests with the trailing CRLF, the implementation for fetch in Node.js version 22 and below does not. This caused my a good number of hours debugging! It does turn out that in September 2024 the Node.js fetch implementation added the CRLF (https://github.com/nodejs/undici/pull/3625), though this hasn't made it to a Node.js release yet. This change allows the boundary to end with a newline or not, as long as the boundary is followed by the end of the request body. |
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Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
Docs - Free Cloud Service - Self Managed
✨ Core features
- Python-based and agnostic to models, APIs, data sources, or databases.
- Visual IDE for drag-and-drop building and testing of workflows.
- Playground to immediately test and iterate workflows with step-by-step control.
- Multi-agent orchestration and conversation management and retrieval.
- Free cloud service to get started in minutes with no setup.
- Publish as an API or export as a Python application.
- Observability with LangSmith, LangFuse, or LangWatch integration.
- Enterprise-grade security and scalability with free DataStax Langflow cloud service.
- Customize workflows or create flows entirely just using Python.
- Ecosystem integrations as reusable components for any model, API or database.
📦 Quickstart
- Install with uv (recommended) (Python 3.10 to 3.12):
uv pip install langflow
- Install with pip (Python 3.10 to 3.12):
pip install langflow
- Cloud: DataStax Langflow is a hosted environment with zero setup. Sign up for a free account.
- Self-managed: Run Langflow in your environment. Install Langflow to run a local Langflow server, and then use the Quickstart guide to create and execute a flow.
- Hugging Face: Clone the space using this link to create a Langflow workspace.
⭐ 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.