Langflow
Visual, low-code platform to build and deploy AI agents and MCP servers
About Langflow
Langflow is an open-source, visual low-code platform for building AI agents, chatbots, and workflows using a drag-and-drop interface of modular components. It supports all major LLMs, vector databases, and hundreds of data sources, and lets developers customize anything in Python. Flows can be deployed as APIs, self-hosted, or run on an enterprise-grade cloud, with multi-agent support and rapid prototyping and comparison.
Screenshots
Commonly Cited Strengths & Limitations
Strengths
- Visual flows that non-technical stakeholders can understand
- Lets teams focus on creativity rather than boilerplate complexity
- Speeds up iteration and deployment of AI workflows
Common Use Cases
- Rapidly prototyping and iterating AI agents
- Building Retrieval-Augmented Generation (RAG) applications
- Developing multi-agent chatbots and conversational AI
- Orchestrating AI workflows with custom data integrations
- Deploying AI flows as APIs from notebook to production
Details
- Pricing Model
- Freemium
- Team Size
- Individual, Startup, Business, Enterprise
- Category
- No-Code / Low-Code
Key Features
- Visual drag-and-drop flow builder
- AI agent and MCP server deployment
- Reusable, pre-built components and flows
- Python customization of any component
- Support for all major LLMs and vector databases
- Broad data source connectivity
- Custom component creation
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