Head to head
Neuromcp vs Vectr
Same numbers we show everywhere else, lined up. Ratings come from users, the grade comes from our scanner, adoption comes from public registries.
No reviews yet
Semantic memory for AI agents with hybrid search, knowledge graph, and consolidation
Full listingNo reviews yet
Semantic codebase search + persistent working memory for AI code editors. Local, no API key.
Full listingThe short version
Neither has been reviewed yet, so the comparison rests on the scan and the public usage numbers. The safety scan favours Vectr (92/100 against 77).
| Neuromcp | Vectr | |
|---|---|---|
| User rating | No reviews yet | No reviews yet |
| Safety grade | B77/100 | A92/100 |
| Adoption | Growing | Growing |
| GitHub stars | 4 | 2 |
| Downloads / week | 277 | 336 |
| Runs where | Your machine (local) | Your machine (local) |
| Gateway-ready | No | No |
| Tools | 46 | — |
| Write actions | 7 | — |
| Price per call | Free | Free |
| Licence | NOASSERTION | MIT |
| Last release | 2026-09-15 | 2026-09-06 |
| Category | Web search | Web search |