head to head · open source
graphrag vs llmwiki
graphrag has 36,531 GitHub stars, 3,867 forks, 47 open issues and last shipped yesterday. llmwiki has 1,746 stars, 245 forks, 28 open issues and last shipped 3 days ago. graphrag leads on adoption by 1,992% (36,531 vs 1,746 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.
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Side by side
| graphrag | llmwiki | |
|---|---|---|
| GitHub stars | ★ 37K | ★ 1.7K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-10-31 |
| Forks | ⑂ 3.9K | ⑂ 245 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick graphrag if
- You weight community size — 37K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
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
About graphrag
GraphRAG [!WARNING] GraphRAG is a research project that explores the functional use of graphs to form a targeted context for question answering. Since our first release in July 2024 the capabilities of frontier models have changed dramatically, and our portfolio of research projects has diversified to match. This project is largely in maintenance mode, and won't be accepting new PRs or implementing new features. We'll perform bug fixes and dependency updates as appropriate, particularly to address CVEs as they arise. 👉 Microsoft Research Blog Post 👉 Read the docs 👉 GraphRAG Arxiv Overview The GraphRAG project…
read the full graphrag overview →
About llmwiki
LLM Wiki An autonomous, self maintaining personal Wikipedia built and maintained by AI. LLM Wiki transforms your scattered reading and research into a persistent, AI maintained second brain. Capture documents, notes, and web clippings as you work, and deploy a nightly Claude Routine to autonomously synthesize those sources into a permanent knowledge base. Because the clipper captures your highlights and margin notes alongside the source, the wiki becomes a record of not just what you read but what you thought about it — one that compounds over months and years, long after the original context would have faded…
read the full llmwiki overview →
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Frequently asked questions
Is graphrag or llmwiki more popular?
graphrag has 36,531 GitHub stars and llmwiki has 1,746. 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 (36,531 stars) or its MIT licence terms. Choose llmwiki if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.