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Langflow
Langflow is a visual, open-source platform that makes it easy to design and scale AI agents and workflows without code.
- Launch Date
- 2022
- Monthly Visitors
- 279.4K
- Country of Origin
- -
- Platform
- Web
- Language
- english
Keywords
- AI agent builder
- open source agent platform
- drag & drop AI
- Agentflow visual tools
- RAG response platform
- multi-agent design
- LLM workflow
- AI app builder
- code-free AI development
Platform Description
Langflow is an open source AI development platform that makes it easy to create artificial intelligence workflows with drag and drop. connect the components you want by dragging and dropping them onto the screen, and you can start designing conversational AI or automated workflows without writing complex code. this makes it easy for non-technical people to quickly create AI-powered applications.
The platform goes beyond just building chatbots to help you build systems with multiple AI agents working together. for example, you can implement a multi-agent collaborative flow where one agent retrieves data, another analyzes it, and finally organizes the results into a report. this can be used for knowledge discovery, document-based answers (RAGs), sales automation, customer support chatbots, and much more.
Langflow also offers the extensibility and freedom that is unique to open source. users can extend the functionality themselves by adding Python code, and can intuitively see how it runs with log tracing and visual debugging. what's more, it can even be deployed on your own servers to match your corporate environment, providing both security and flexibility.
Core Features
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visual flow builder
drag-and-drop flow configuration capabilities
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component-based design
node-by-node modular design for models, DBs, external APIs, etc
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multi-agent and composite flow support
configure collaboration flows between multiple agents
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code scalability
Inject Python code to customize components
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provide deployment options
support for cloud deployments and hosting your own servers
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execution tracing and debugging
logs, visual debugging, and flow execution monitoring
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manage projects and modularization
Organize your flow and project structure
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Integrating RAG with external tools
vector Store, search, and external API integrations
Use Cases
- building a chatbot
- document-based question and answer (RAG)
- multi-agent systems
- workflow automation
- connecting tools
- AI app builder
- data inquiry response
- structuring your project
- visual flows
- logs and debugging
- extending Components
- Deploying APIs
How to Use
configure installation or hosting
create new projects and flows
adding and connecting components
testing and deployment
FAQs
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Langflow is an open-source, Python-based framework that makes it easy to develop a wide variety of AI applications. It doesn't depend on a specific large language model (LLM) or vector database, and supports core features like Agents and the Model Context Protocol (MCP).
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Langflow offers a visual editor that lets you quickly create AI workflows with drag-and-drop without writing complex code, so you can experiment with your ideas and turn them into real-world applications very quickly.
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Langflow can be used to develop a variety of AI apps, including chatbots, document analysis systems, content creation tools, and agent-based applications. for example, it's also suitable for e-commerce chatbots, internal report summarizers, customer data analysis automation, and more.
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yes, you can. With the Playground feature, you can run a flow right away and see the response. You can also run individual components in isolation to check for issues or quickly test the entire flow.
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the finished flow can be used as a simple prototype, plugged directly into your application code via the Langflow API, or containerized for server deployment or integration with external services.
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Langflow supports a wide variety of components, including inputs, outputs, data stores, language models, agents, and embedding services. It also provides flexible behavior by allowing parameters to be set to fixed values or variables, and temporarily overwritten at runtime.
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Langflow offers its own agent capabilities, allowing you to leverage your flow as an intelligent tool, and act as an MCP server/client to securely send and receive data to and from external systems.
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Langflow allows you to create and add your own custom components, as well as import and reuse components created by other users. this makes it easy to extend functionality to fit your specific company or team environment.
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