MemOS vs Supermemory
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
S
Supermemoryopen-source
Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.
Metrics
| MemOS | Supermemory | |
|---|---|---|
| Stars | 11.7k | 31.0k |
| Star velocity /mo | 971.6666666666666 | 2.6k |
| Commits (90d) | 264 | 182 |
| Releases (6m) | 10 | 10 |
| Overall score | 0.730926100634913 | 0.8140953755537769 |
FAQ
- Which is more popular, MemOS or Supermemory?
- Supermemory has more GitHub stars (31,039 vs 11,660).
- Which is more actively developed, MemOS or Supermemory?
- MemOS had more commits in the last 90 days (264 vs 182).
- Should I use MemOS or Supermemory?
- 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.