head to head · open source

Dify vs langgraph

Dify has 156,215 GitHub stars, 24,668 forks, 1,067 open issues and last shipped yesterday. langgraph has 41,863 stars, 7,069 forks, 786 open issues and last shipped yesterday. Dify leads on adoption by 273% (156,215 vs 41,863 stars). Dify is written in TypeScript under a custom or non-standard licence; langgraph is written in Python under MIT. Dify has attracted 16% as many forks as stars, langgraph 17%. Dify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai, llm), 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.

Dify ★ 156K langgraph ★ 42K category AI & Machine Learning

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Side by side

Dify langgraph
GitHub stars ★ 156K ★ 42K
License Custom / other MIT
Written in TypeScript Python
Last push 2026-09-18 2026-09-18
Forks ⑂ 25K ⑂ 7.1K
Self-hosting Yes Yes
Data ownership Your server Your server

pick Dify if

  • You weight community size — 156K stars and counting
  • You want the Custom / other license terms
  • Your stack matches TypeScript
  • You value the larger contributor base for long-term maintenance

full Dify profile →

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

full langgraph profile →

About Dify

Dify is an open source LLM application development platform built in TypeScript. It provides a visual interface for designing, testing, and deploying AI workflows, RAG pipelines, and agentic systems without writing extensive code. The platform lives in the generative AI development ecosystem and targets teams needing to move from prototype to production using consistent tooling across environments.

read the full Dify 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 →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Open WebUI ★ 152K langchain ★ 147K ponytail ★ 141K

Related comparisons

openclaw vs dify openclaw vs langgraph n8n vs dify dify vs langflow dify vs open-webui dify vs langchain dify vs ponytail openclaw vs multica openclaw vs hermes-agent openclaw vs opencode openclaw vs n8n openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm hermes-agent vs opencode hermes-agent vs n8n openclaw vs ollama ollama vs llama-cpp ollama vs vllm ollama vs gpt4all ollama vs llama-index ollama vs localai open-webui vs gpt4all llama-cpp vs vllm

More AI Development Platforms projects

Compare either of these against the rest of the AI Development Platforms field.

Dify vs langchain Dify vs ponytail Dify vs generative-ai-for-beginners Dify vs graphify Dify vs claude-mem Dify vs ragflow Dify vs PaddleOCR Dify vs Agent-Reach Dify vs headroom Dify vs Mem0 Dify vs daily_stock_analysis Dify vs LiteLLM

Frequently asked questions

Is Dify or langgraph more popular?

Dify has 156,215 GitHub stars and langgraph has 41,863. Dify has the larger community by that measure.

Are Dify and langgraph free?

Both are open source. Dify has no licence declared in this registry, and langgraph is licensed under MIT. Both are free to self-host.

What is the difference between Dify and langgraph?

Dify is written in TypeScript 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, Dify or langgraph?

Choose Dify if you want the larger community (156,215 stars) or its Custom / other licence terms. Choose langgraph if its feature set, stack or MIT licence fits better. Both are self-hostable.