MemOS vs Semantica
Side-by-side comparison of two AI agent tools
Short answer
- Semantica is growing faster: +520 GitHub stars in the last 30 days vs +220 for MemOS.
- Pick MemOS for: memory OS for LLMs and AI agents with graph-structured, multimodal storage and retrieval. Pick Semantica for: graph-Native Infrastructure for Context and Accountable AI Systems.
From GitHub data refreshed daily.
M
MemOSopen-source
Memory OS for LLMs and AI agents with graph-structured, multimodal storage and retrieval
S
Semanticaopen-source
Graph-Native Infrastructure for Context and Accountable AI Systems
Metrics
| MemOS | Semantica | |
|---|---|---|
| Stars | 11.7k | 13.6k |
| Star velocity /mo | 220 | 520 |
| Commits (90d) | 260 | 1.1k |
| Releases (6m) | 10 | 9 |
| Downloads (30d, npm + PyPI) | 1.5K | 14.8K |
| Overall score | 0.6983179212295428 | 0.791939793531921 |
FAQ
- Which is more popular, MemOS or Semantica?
- Semantica has more GitHub stars (13,626 vs 11,682).
- Which is more actively developed, MemOS or Semantica?
- Semantica had more commits in the last 90 days (1,149 vs 260).
- Should I use MemOS or Semantica?
- 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.