head to head · open source

graphrag vs llmwiki

graphrag has 36,022 GitHub stars, 3,795 forks, 47 open issues and last shipped 2 days ago. llmwiki has 1,625 stars, 234 forks, 28 open issues and last shipped 7 days ago. graphrag leads on adoption by 2,117% (36,022 vs 1,625 stars). graphrag is written in Python under MIT; llmwiki is written in Python under Apache-2.0. graphrag has attracted 11% as many forks as stars, llmwiki 14%. graphrag was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (llm, rag), 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.

graphrag ★ 36K llmwiki ★ 1.6K category AI & Machine Learning

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Side by side

graphrag llmwiki
GitHub stars ★ 36K ★ 1.6K
License MIT Apache-2.0
Written in Python Python
Last push 2026-09-16 2026-09-11
Forks ⑂ 3.8K ⑂ 234
Self-hosting Yes Yes
Data ownership Your server Your server

pick graphrag if

  • You weight community size — 36K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full graphrag profile →

pick llmwiki if

  • You want the llmwiki feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Python
  • You evaluated both and llmwiki fits your workflow better

full llmwiki profile →

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 →

About llmwiki

LLM Wiki is an open source, Apache 2.0 Python project that turns a folder of documents, notes, and web clippings into an autonomous, self maintaining personal Wikipedia written and updated by Claude over MCP, built for individual readers, their AI assistants, and organizations that want a knowledge base they do not have to remember to update.

read the full llmwiki overview →

More in AI & Machine Learning

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

Frequently asked questions

Is graphrag or llmwiki more popular?

graphrag has 36,022 GitHub stars and llmwiki has 1,625. graphrag has the larger community by that measure.

Are graphrag and llmwiki free?

Both are open source. graphrag is licensed under MIT and llmwiki under Apache-2.0. Neither carries a licence fee.

What is the difference between graphrag and llmwiki?

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

Choose graphrag if you want the larger community (36,022 stars) or its MIT licence terms. Choose llmwiki if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.