AI Plugin Indexvectorize-ollama vs mem-search
vectorize-ollama and mem-search are both search and web skills. mem-search scores higher (82 vs 18 out of 100). mem-search has more GitHub stars (102k), and mem-search was updated more recently (4 days ago). The table compares them side by side.
| vectorize-ollama | mem-search | |
|---|---|---|
| Score | 18 / 100 | 82 / 100 |
| What it does | Create embeddings with gpt-oss:120b-cloud or other models via Ollama. Use this skill to turn text into vector representations for semantic search or comparison. | Use this when the user asks to search memory, "did we already solve this?", "how did we do X last time?", or wants work from previous sessions. |
| Publisher | Community: David-Li0406 | Community: thedotmack |
| Grades | Maintenance C, Licence F, Quality C | Maintenance A, Licence A, Quality A |
| npm downloads a week | Not on npm | Not on npm |
| Runs | Skill | Skill |
| Works with | Claude Code, Claude apps | Claude Code, Claude apps |
| GitHub stars | 2 | 101,863 |
| Last commit | 14 Jul 2026 | 20 Oct 2026 |
| Licence | None found | Apache-2.0 |
| Listed since | 19 Oct 2026 | 19 Oct 2026 |
| Install vectorize-ollama | Install mem-search |
Questions
Is vectorize-ollama or mem-search more popular?
mem-search has more GitHub stars: 101,863.
Can I use vectorize-ollama and mem-search together?
Yes. AI assistants can load several skills at once. Install both and the assistant picks the right one for each task.