head to head · open source
Langflow vs langgraph
Langflow has 154,959 GitHub stars, 10,109 forks, 1,056 open issues and last shipped today. langgraph has 41,863 stars, 7,069 forks, 786 open issues and last shipped today. Langflow leads on adoption by 270% (154,959 vs 41,863 stars). Langflow is written in Python under MIT; langgraph is written in Python under MIT. Langflow has attracted 7% as many forks as stars, langgraph 17%. langgraph was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (agents, chatgpt, generative-ai), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| Langflow | langgraph | |
|---|---|---|
| GitHub stars | ★ 155K | ★ 42K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-09-18 | 2026-09-18 |
| Forks | ⑂ 10K | ⑂ 7.1K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Langflow if
- You weight community size — 155K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick langgraph if
- You want the langgraph feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and langgraph fits your workflow better
About Langflow
Langflow is a visual builder platform for designing, testing, and deploying AI agents and retrieval augmented generation (RAG) pipelines. It lives in the Python based generative AI ecosystem and targets developers building intelligent applications. The project provides a low code interface to assemble components—such as LLMs, vector stores, memory modules, and tools—into executable workflows, while also exposing those workflows as APIs or MCP servers for integration into external applications.
read the full Langflow overview →
About langgraph
LangGraph is a low level Python orchestration framework for building stateful, long running agents, aimed at developers and platform teams who need durable execution, human in the loop control, and persistent memory instead of a turnkey agent application.
read the full langgraph overview →
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Frequently asked questions
Is Langflow or langgraph more popular?
Langflow has 154,959 GitHub stars and langgraph has 41,863. Langflow has the larger community by that measure.
Are Langflow and langgraph free?
Both are open source. Langflow is licensed under MIT and langgraph under MIT. Neither carries a licence fee.
What is the difference between Langflow and langgraph?
Langflow is written in Python and langgraph in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Langflow or langgraph?
Choose Langflow if you want the larger community (154,959 stars) or its MIT licence terms. Choose langgraph if its feature set, stack or MIT licence fits better. Both are self-hostable.