langchain-ai/langgraph vs langflow-ai/langflow
Compare langchain-ai/langgraph and langflow-ai/langflow using the current verified snapshot: positioning, license, deployment, use cases, limitations, and original sources.
langchain-ai/langgraph
LangGraph provides low-level supporting infrastructure for building long-running, stateful agents and workflows that persist through failures. It enables durable execution, human-in-the-loop interactions, and stateful memory, though coding is required to implement and manage these agents.
- License
- MIT
- Deployment
- Library integration
- Use cases
- Automation
- Updated
- 2026-07-17T08:50:16Z
langflow-ai/langflow
Langflow provides a visual canvas for designing, testing, and deploying AI agents and workflows. It supports turning workflows into APIs or MCP servers and offers multiple local execution and hosted deployment paths.
- License
- MIT
- Deployment
- Refer to project documentation
- Use cases
- Coding & Development · Automation
- Updated
- 2026-07-16T10:23:24Z
How to choose
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