head to head · open source
Mem0 vs graphrag
Mem0 has 68,288 GitHub stars, 8,104 forks, 742 open issues and last shipped 4 days ago. graphrag has 36,531 stars, 3,867 forks, 47 open issues and last shipped yesterday. Mem0 leads on adoption by 87% (68,288 vs 36,531 stars). Mem0 is written in Python under Apache-2.0; graphrag is written in Python under MIT. Mem0 has attracted 12% as many forks as stars, graphrag 11%. graphrag 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.
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Side by side
| Mem0 | graphrag | |
|---|---|---|
| GitHub stars | ★ 68K | ★ 37K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-10-30 | 2026-11-02 |
| Forks | ⑂ 8.1K | ⑂ 3.9K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Mem0 if
- You weight community size — 68K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
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
About Mem0
Learn more · Join Discord · Demo 📄 Benchmarking Mem0's token efficient memory algorithm → New Memory Algorithm (April 2026) All benchmarks run on the same production representative model stack. Single pass retrieval (one call, no agentic loops) at a top 200 retrieval budget. Scores reflect Mem0's managed platform, which includes proprietary optimizations not available in the open source SDK; open source users should expect directionally similar gains but not identical numbers. What changed: Single pass ADD only extraction one LLM call, no UPDATE/DELETE. Memories accumulate; nothing is overwritten. Agent…
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 →
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Frequently asked questions
Is Mem0 or graphrag more popular?
Mem0 has 68,288 GitHub stars and graphrag has 36,531. Mem0 has the larger community by that measure.
Are Mem0 and graphrag free?
Both are open source. Mem0 is licensed under Apache-2.0 and graphrag under MIT. Neither carries a licence fee.
What is the difference between Mem0 and graphrag?
Mem0 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, Mem0 or graphrag?
Choose Mem0 if you want the larger community (68,288 stars) or its Apache-2.0 licence terms. Choose graphrag if its feature set, stack or MIT licence fits better. Both are self-hostable.