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Langflow
Low-code AI builder for agentic and RAG applications
1 views0langflow.org
Open Source

About Langflow
Langflow is a powerful low-code platform designed to build and deploy AI agents and MCP servers with visual state flows and reusable components. It supports all major LLMs, vector databases, and integrates with hundreds of tools and data sources, enabling rapid iteration from notebook to production deployment.
Key Features
- Visual state flows for AI workflows
- Drag-and-drop interface
- Reusable components library
- Python customization
- Deploy as API endpoints
- Enterprise-grade cloud deployment
- Hundreds of pre-built flows and components
- Support for all major LLMs and vector databases
Use Cases
Building AI agentsRAG application developmentLLM workflow creationAI product deploymentMulti-agent orchestrationCustom tool integration
Best For
AI developersMachine learning engineersData scientistsAI product teamsEnterprise development teams
Integrations
AnthropicOpenAIGroqMistralMetaOllamaHuggingFaceAzureBingGoogle CloudGoogle DriveAWS BedrockLangchainCrew AIComposioMongoDBPineconeWeaviateMilvusQdrantCouchbaseDatastaxCassandraGitHubSlackNotionGmailConfluenceEvernoteCouchbaseUpstashRedisTavilySerperWikipediaWolfram AlphaYahoo Finance
Supported Languages
English
Pros & Cons
Pros
- No-code/low-code visual builder reduces development complexity
- Extensive integration library with 100+ tools and data sources
- Deploy directly to cloud or self-host with same experience
- Python customization for unlimited control
- Active community with 138k+ GitHub stars
Cons
- Requires learning the visual flow paradigm for optimal use
- Self-hosted deployments may require additional infrastructure setup
- Cloud deployment ties workflows to Langflow's infrastructure
User Reviews
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