Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
1cd21e56d3* update setup of templates to update components considering it's type instead of the display name * Add Amazon Bedrock as a model provider and update agent component logic - Added "Amazon Bedrock" to the list of model provider options in multiple JSON files. - Updated the `AgentComponent` class to include `get_model_name` for retrieving the model name. - Changed the `tools` field requirement to optional in several JSON files. - Added a `legacy` field to the Blog Writer JSON configuration. * update main descriptions * Skip tests for Basic Prompting, Blog Writer, Document QA, Dynamic Agent, Hierarchical Tasks Agent, Memory Chatbot, Sequential Task Agent, Simple Agent, Travel Planning Agent, and Vector Store RAG --------- Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> |
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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 pip (Python 3.10 or greater):
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.