head to head · open source

langgraph vs graphrag

langgraph has 41,863 GitHub stars, 7,069 forks, 786 open issues and last shipped today. graphrag has 36,022 stars, 3,795 forks, 47 open issues and last shipped 2 days ago. langgraph leads on adoption by 16% (41,863 vs 36,022 stars). langgraph is written in Python under MIT; graphrag is written in Python under MIT. langgraph has attracted 17% as many forks as stars, graphrag 11%. langgraph was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (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.

langgraph ★ 42K graphrag ★ 36K category AI & Machine Learning

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Side by side

langgraph graphrag
GitHub stars ★ 42K ★ 36K
License MIT MIT
Written in Python Python
Last push 2026-09-18 2026-09-16
Forks ⑂ 7.1K ⑂ 3.8K
Self-hosting Yes Yes
Data ownership Your server Your server

pick langgraph if

  • You weight community size — 42K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full langgraph profile →

pick graphrag if

  • You want the graphrag feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and graphrag fits your workflow better

full graphrag profile →

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 →

About graphrag

GraphRAG is a modular, Python based, MIT licensed data pipeline and transformation suite from Microsoft Research that uses large language models to extract structured data from unstructured text, then exploits the resulting knowledge graph to form targeted context for question answering over private data.

read the full graphrag overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

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openclaw vs langgraph openclaw vs dify openclaw vs multica n8n vs dify dify vs langflow dify vs open-webui dify vs langchain dify vs ponytail 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.

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

Frequently asked questions

Is langgraph or graphrag more popular?

langgraph has 41,863 GitHub stars and graphrag has 36,022. langgraph has the larger community by that measure.

Are langgraph and graphrag free?

Both are open source. langgraph is licensed under MIT and graphrag under MIT. Neither carries a licence fee.

What is the difference between langgraph and graphrag?

langgraph is written in Python and graphrag 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, langgraph or graphrag?

Choose langgraph if you want the larger community (41,863 stars) or its MIT licence terms. Choose graphrag if its feature set, stack or MIT licence fits better. Both are self-hostable.