head to head · open source
Langflow vs langgraph
Langflow has 156,266 GitHub stars, 10,311 forks, 1,056 open issues and last shipped yesterday. langgraph has 44,336 stars, 7,622 forks, 786 open issues and last shipped yesterday. Langflow leads on adoption by 252% (156,266 vs 44,336 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 | ★ 156K | ★ 44K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 10K | ⑂ 7.6K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Langflow if
- You weight community size — 156K 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 powerful platform for building and deploying AI powered agents and workflows. It provides developers with both a visual authoring experience and built in API and MCP servers that turn every workflow into a tool that can be integrated into applications built on any framework or stack. Langflow comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools. ✨ Highlight features Visual builder interface to quickly get started and iterate. Source code access lets you customize any component using Python. Interactive playground to immediately test and…
read the full Langflow overview →
About langgraph
Low level orchestration framework for building stateful agents. Trusted by companies shaping the future of agents – including Klarna, Replit, Elastic, and more – LangGraph is a low level orchestration framework for building, managing, and deploying long running, stateful agents. [!TIP] If you're looking to quickly build agents, check out Deep Agents — a higher level package built on LangGraph for agents that can plan, use subagents, and leverage file systems for complex tasks. For an equivalent JS/TS library, check out LangGraph.js and the JS docs. Why use LangGraph? LangGraph provides low level supporting…
read the full langgraph overview →
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Frequently asked questions
Is Langflow or langgraph more popular?
Langflow has 156,266 GitHub stars and langgraph has 44,336. 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 (156,266 stars) or its MIT licence terms. Choose langgraph if its feature set, stack or MIT licence fits better. Both are self-hostable.