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Langflow vs LangGraph

Side-by-side comparison with live GitHub signals. Last updated May 22, 2026.

L

Langflow

Visual framework for building and deploying AI agents — 145K+ stars

OSSFree
148.6Ktoday323
L

LangGraph

LangChain's framework for building stateful agent graphs — 26K+ stars

OSSFree
32.7Ktoday273
MetricLangflowLangGraph
GitHub Stars148.6K32.7K
Contributors323273
Last CommitMay 22, 2026May 21, 2026
Open Issues931553
Licenseopen-sourceopen-source
Pricingopen-sourceopen-source
Free TierYesYes
Categoryframeworksframeworks
TrendingNoNo

Shared Tags

multi-agentpythonopen-source

Only in Langflow

visual-builderno-coderag

Only in LangGraph

graphstatefullangchainpersistence

About Langflow

Langflow is a visual framework for building multi-agent and RAG applications. Its drag-and-drop interface lets you create complex agent workflows without code, while still allowing Python customization. Supports all major LLM providers, vector stores, and tools. Export flows as APIs with one click. The most popular visual agent builder.

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About LangGraph

LangGraph is LangChain's framework for building stateful, multi-actor agent applications as graphs. Define agents as nodes and their interactions as edges, with built-in persistence, streaming, human-in-the-loop, and time-travel debugging. The standard for production agent orchestration in the LangChain ecosystem.

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