MemOS vs OmO
Side-by-side comparison of two AI agent tools
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
O
OmOopen-source
OmO: Just type "mass ulw" keyword with your prompt. Now you are the master of graph engineering.
Metrics
| MemOS | OmO | |
|---|---|---|
| Stars | 11.7k | 69.7k |
| Star velocity /mo | 971.6666666666666 | 5.8k |
| Commits (90d) | 264 | 9.1k |
| Releases (6m) | 10 | 10 |
| Overall score | 0.730926100634913 | 0.9467088818808445 |
FAQ
- Which is more popular, MemOS or OmO?
- OmO has more GitHub stars (69,687 vs 11,660).
- Which is more actively developed, MemOS or OmO?
- OmO had more commits in the last 90 days (9,058 vs 264).
- Should I use MemOS or OmO?
- 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.