MemOS vs memvid
Side-by-side comparison of two AI agent tools
M
MemOSopen-source
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harne
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memvidopen-source
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
Metrics
| MemOS | memvid | |
|---|---|---|
| Stars | 11.7k | 16.6k |
| Star velocity /mo | 971.6666666666666 | 1.4k |
| Commits (90d) | 264 | 2 |
| Releases (6m) | 10 | 1 |
| Overall score | 0.730926100634913 | 0.4957582336156232 |
FAQ
- Which is more popular, MemOS or memvid?
- memvid has more GitHub stars (16,567 vs 11,660).
- Which is more actively developed, MemOS or memvid?
- MemOS had more commits in the last 90 days (264 vs 2).
- Should I use MemOS or memvid?
- 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.