GraphRAG vs MemOS
Side-by-side comparison of two AI agent tools
G
GraphRAGopen-source
A modular graph-based Retrieval-Augmented Generation (RAG) system
M
MemOSopen-source
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harne
Metrics
| GraphRAG | MemOS | |
|---|---|---|
| Stars | 36.2k | 11.7k |
| Star velocity /mo | 3.0k | 971.6666666666666 |
| Commits (90d) | 27 | 264 |
| Releases (6m) | 5 | 10 |
| Overall score | 0.7070992817261941 | 0.730926100634913 |
FAQ
- Which is more popular, GraphRAG or MemOS?
- GraphRAG has more GitHub stars (36,178 vs 11,660).
- Which is more actively developed, GraphRAG or MemOS?
- MemOS had more commits in the last 90 days (264 vs 27).
- Should I use GraphRAG or MemOS?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.