MemOS vs memvid
Side-by-side comparison of two AI agent tools
Short answer
- MemOS is growing faster: +225 GitHub stars in the last 30 days vs +75 for memvid.
- Pick MemOS for: memory OS for LLMs and AI agents with graph-structured, multimodal storage and retrieval. Pick memvid for: memory layer for AI Agents.
From GitHub data refreshed daily.
M
MemOSopen-source
Memory OS for LLMs and AI agents with graph-structured, multimodal storage and retrieval
m
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 | 225 | 75 |
| Commits (90d) | 261 | 2 |
| Releases (6m) | 10 | 1 |
| Overall score | 0.7181250897770423 | 0.4024477331418405 |
FAQ
- Which is more popular, MemOS or memvid?
- memvid has more GitHub stars (16,572 vs 11,675).
- Which is more actively developed, MemOS or memvid?
- MemOS had more commits in the last 90 days (261 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.