MemOS vs OpenMetadata
Side-by-side comparison of two AI agent tools
Short answer
- MemOS is growing faster: +220 GitHub stars in the last 30 days vs +60 for OpenMetadata.
- Pick MemOS for: memory OS for LLMs and AI agents with graph-structured, multimodal storage and retrieval. Pick OpenMetadata for: open-source metadata platform for trusted data context, lineage, semantics, and organizational memory.
From GitHub data refreshed daily.
M
MemOSopen-source
Memory OS for LLMs and AI agents with graph-structured, multimodal storage and retrieval
O
OpenMetadataopen-source
Open-source metadata platform for trusted data context, lineage, semantics, and organizational memory
Metrics
| MemOS | OpenMetadata | |
|---|---|---|
| Stars | 11.7k | 15.4k |
| Star velocity /mo | 220 | 60 |
| Commits (90d) | 260 | 2.1k |
| Releases (6m) | 10 | 10 |
| Downloads (30d, npm + PyPI) | 1.5K | — |
| Overall score | 0.6983179212295428 | 0.7378108842888129 |
FAQ
- Which is more popular, MemOS or OpenMetadata?
- OpenMetadata has more GitHub stars (15,365 vs 11,682).
- Which is more actively developed, MemOS or OpenMetadata?
- OpenMetadata had more commits in the last 90 days (2,149 vs 260).
- Should I use MemOS or OpenMetadata?
- 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.