GraphRAG vs MemOS
Side-by-side comparison of two AI agent tools
Short answer
- Pick GraphRAG for: a modular graph-based Retrieval-Augmented Generation (RAG) system. Pick MemOS for: memory OS for LLMs and AI agents with graph-structured, multimodal storage and retrieval.
From GitHub data refreshed daily.
G
GraphRAGopen-source
A modular graph-based Retrieval-Augmented Generation (RAG) system
M
MemOSopen-source
Memory OS for LLMs and AI agents with graph-structured, multimodal storage and retrieval
Metrics
| GraphRAG | MemOS | |
|---|---|---|
| Stars | 36.2k | 11.7k |
| Star velocity /mo | 160 | 220 |
| Commits (90d) | 27 | 260 |
| Releases (6m) | 5 | 10 |
| Downloads (30d, npm + PyPI) | — | 1.5K |
| Overall score | 0.5661979283552458 | 0.6983179212295428 |
FAQ
- Which is more popular, GraphRAG or MemOS?
- GraphRAG has more GitHub stars (36,194 vs 11,682).
- Which is more actively developed, GraphRAG or MemOS?
- MemOS had more commits in the last 90 days (260 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.