Memori vs MemOS
Side-by-side comparison of two AI agent tools
M
Memorifreemium
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production
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
| Memori | MemOS | |
|---|---|---|
| Stars | 17.0k | 11.7k |
| Star velocity /mo | 1.4k | 971.6666666666666 |
| Commits (90d) | 5 | 264 |
| Releases (6m) | 10 | 10 |
| Overall score | 0.6611191257289188 | 0.730926100634913 |
FAQ
- Which is more popular, Memori or MemOS?
- Memori has more GitHub stars (17,027 vs 11,660).
- Which is more actively developed, Memori or MemOS?
- MemOS had more commits in the last 90 days (264 vs 5).
- Should I use Memori 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.