cocoindex vs MemOS
Side-by-side comparison of two AI agent tools
Short answer
- MemOS is growing faster: +220 GitHub stars in the last 30 days vs +40 for cocoindex.
- Pick cocoindex for: incremental engine for long horizon agents Star if you like it. Pick MemOS for: memory OS for LLMs and AI agents with graph-structured, multimodal storage and retrieval.
From GitHub data refreshed daily.
c
cocoindexopen-source
Incremental engine for long horizon agents π Star if you like it!
M
MemOSopen-source
Memory OS for LLMs and AI agents with graph-structured, multimodal storage and retrieval
Metrics
| cocoindex | MemOS | |
|---|---|---|
| Stars | 11.6k | 11.7k |
| Star velocity /mo | 40 | 220 |
| Commits (90d) | 133 | 260 |
| Releases (6m) | 10 | 10 |
| Downloads (30d, npm + PyPI) | β | 1.5K |
| Overall score | 0.6236213430196258 | 0.6983179212295428 |
FAQ
- Which is more popular, cocoindex or MemOS?
- MemOS has more GitHub stars (11,682 vs 11,642).
- Which is more actively developed, cocoindex or MemOS?
- MemOS had more commits in the last 90 days (260 vs 133).
- Should I use cocoindex 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.