Memori vs MemOS
Side-by-side comparison of two AI agent tools
Short answer
- Memori is growing faster: +370 GitHub stars in the last 30 days vs +220 for MemOS.
- Memori is freemium; MemOS is open-source.
- Pick Memori for: lLM-agnostic memory infrastructure that turns agent execution and conversations into persistent state. Pick MemOS for: memory OS for LLMs and AI agents with graph-structured, multimodal storage and retrieval.
From GitHub data refreshed daily.
M
Memorifreemium
LLM-agnostic memory infrastructure that turns agent execution and conversations into persistent state
M
MemOSopen-source
Memory OS for LLMs and AI agents with graph-structured, multimodal storage and retrieval
Metrics
| Memori | MemOS | |
|---|---|---|
| Stars | 17.1k | 11.7k |
| Star velocity /mo | 370 | 220 |
| Commits (90d) | 5 | 260 |
| Releases (6m) | 10 | 10 |
| Downloads (30d, npm + PyPI) | 19.1K | 1.5K |
| Overall score | 0.6281376966364172 | 0.6983179212295428 |
FAQ
- Which is more popular, Memori or MemOS?
- Memori has more GitHub stars (17,064 vs 11,682).
- Which is more actively developed, Memori or MemOS?
- MemOS had more commits in the last 90 days (260 vs 5).
- Should I use Memori or MemOS?
- Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.