EverOS vs MemOS
Side-by-side comparison of two AI agent tools
Short answer
- Pick EverOS for: one portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving. Pick MemOS for: memory OS for LLMs and AI agents with graph-structured, multimodal storage and retrieval.
From GitHub data refreshed daily.
E
EverOSopen-source
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
M
MemOSopen-source
Memory OS for LLMs and AI agents with graph-structured, multimodal storage and retrieval
Metrics
| EverOS | MemOS | |
|---|---|---|
| Stars | 13.3k | 11.7k |
| Star velocity /mo | 150 | 220 |
| Commits (90d) | 83 | 260 |
| Releases (6m) | 10 | 10 |
| Downloads (30d, npm + PyPI) | — | 1.5K |
| Overall score | 0.660120374462766 | 0.6983179212295428 |
FAQ
- Which is more popular, EverOS or MemOS?
- EverOS has more GitHub stars (13,328 vs 11,682).
- Which is more actively developed, EverOS or MemOS?
- MemOS had more commits in the last 90 days (260 vs 83).
- Should I use EverOS 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.