Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
f596cc4ad3* Add initial setup for "Simple Agent" starter project - Introduced a new JSON configuration for the "Simple Agent" starter project. - The flow includes nodes for Chat Input, Chat Output, OpenAI Model, Tool Calling Agent, Calculator Tool, and Python REPL Tool. - Configured edges to connect these nodes, enabling interaction between different components. - Added detailed descriptions and configurations for each node to facilitate easy setup and usage. * Add Travel Planning Agents starter project JSON file - Introduced a new JSON file for Travel Planning Agents in the starter projects directory. - The JSON file includes configurations for various nodes such as ChatInput, ChatOutput, OpenAIModel, ToolCallingAgent, SearchAPI, URL Content Fetcher, and CalculatorTool. - Defined connections between nodes to create a multi-agent system for planning trips. - Added detailed prompts and configurations for each node to facilitate travel itinerary creation and information retrieval. * Update example names in newFlowModal to match updated project terminology * Update agent names in undrawCards component for consistency * Rename "Complex Agent" to "Dynamic Agent" across frontend and backend components * format project * ✨ (Dynamic Agent.spec.ts): Add end-to-end test for Dynamic Agent functionality ✨ (Simple Agent.spec.ts): Add end-to-end test for Simple Agent functionality ✨ (Travel Planning Agent.spec.ts): Add end-to-end test for Travel Planning Agent functionality * ✨ (Travel Planning Agent.spec.ts): Update end-to-end test for Travel Planning Agent to include new interactions and connections for improved test coverage and functionality. --------- Co-authored-by: cristhianzl <cristhian.lousa@gmail.com> |
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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.