Memori vs memvid
Side-by-side comparison of two AI agent tools
M
Memorifreemium
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production
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
| Memori | memvid | |
|---|---|---|
| Stars | 17.0k | 16.6k |
| Star velocity /mo | 1.4k | 1.4k |
| Commits (90d) | 5 | 2 |
| Releases (6m) | 10 | 1 |
| Overall score | 0.6611191257289188 | 0.4957582336156232 |
FAQ
- Which is more popular, Memori or memvid?
- Memori has more GitHub stars (17,027 vs 16,567).
- Which is more actively developed, Memori or memvid?
- Memori had more commits in the last 90 days (5 vs 2).
- Should I use Memori 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.