LEANN vs memvid
Side-by-side comparison of two AI agent tools
Short answer
- LEANN is growing faster: +150 GitHub stars in the last 30 days vs +60 for memvid.
- Pick LEANN for: local vector database for private RAG using graph-based selective recomputation. Pick memvid for: memory layer for AI Agents.
From GitHub data refreshed daily.
L
LEANNopen-source
Local vector database for private RAG using graph-based selective recomputation
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
| LEANN | memvid | |
|---|---|---|
| Stars | 13.0k | 16.6k |
| Star velocity /mo | 150 | 60 |
| Commits (90d) | 33 | 2 |
| Releases (6m) | 1 | 1 |
| Overall score | 0.5628644454249083 | 0.373647507317092 |
FAQ
- Which is more popular, LEANN or memvid?
- memvid has more GitHub stars (16,573 vs 13,009).
- Which is more actively developed, LEANN or memvid?
- LEANN had more commits in the last 90 days (33 vs 2).
- Should I use LEANN 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.