Turbo Quant Memory vs skillmem
Turbo Quant Memory is an MCP server published by Lexus2016. Marketplaces we read that list it: 1 (Official MCP Registry). skillmem is an MCP server published by liza-studio. Marketplaces we read that list it: 2 (Official MCP Registry, Community GitHub marketplaces). As of our marketplace pass on 2026-10-18. This pair was picked by a reader, not by our comparison rule, so search engines are asked not to index the page.
Where each is published
| Marketplace |  Turbo Quant Memory |  skillmem |
|---|---|---|
| Official MCP Registry | Listed Version: 0.32.0 Downloads/month (PyPI): 845 Downloads/week (PyPI): 61 Forks (GitHub): 1 Stars (GitHub): 9 Not marked · First seen |
Listed Version: 0.12.1 Downloads/month (PyPI): 4 269 Downloads/week (PyPI): 112 Forks (GitHub): 4 Stars (GitHub): 9 Not marked · First seen |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
The facts side by side
| Fact | Turbo Quant Memory | skillmem |
|---|---|---|
| Marketplaces that list it (differs) | 1 (worse) | 2 (better) |
| Stars (GitHub) | 9 | 9 |
| Forks (GitHub) (differs) | 1 (worse) | 4 (better) |
| Last release (differs) | 2026-10-17 | Not published |
| Where it runs (differs) | On your machine (turbo-quant-memory) | On your machine (skillmem) |
| Transport | stdio | stdio |
| Tools it declares | Not published | Not published |
| Environment variables it asks for (differs) | 4, secrets among them: 1 | 1, secrets among them: 0 |
| Hooks it runs (differs) | Not published | 8 |
| Parts of the bundle (differs) | Not a bundle | 7 |
| Licence (differs) | Not stated | Apache-2.0 |
| Repository (differs) | github.com/lexus2016/turbo_quant_memory | github.com/liza-studio/skillmem |
| Changes in the last 7 days (differs) | 3 | 2 |
| First seen | 2026-10-11 | 2026-10-11 |
Lines where the two differ have a tinted background and bold values. Where the data itself says which value is better (more marketplaces, a larger figure of the same marketplace, a fresher release, a verified mark on a marketplace that lists both), the better one is also marked green with ▲ and the worse one red with ▼. Where it runs, the transport, the tools, the settings, hooks, the bundle's parts, the licence and the week's changes are marked only as different: more or fewer is not better in itself.
What each says it does
Turbo Quant Memory
Local-first memory and knowledge graph for coding agents. Compact retrieval, no network.
skillmem
Skill memory for coding agents: learn, recall, reinforce, decay. Local SQLite, no API key.
How to run each
Turbo Quant Memory As a local MCP server: PyPI package
claude mcp add --env "TQMEMORY_SECRETS_PASSPHRASE=<YOUR_TQMEMORY_SECRETS_PASSPHRASE>" --transport stdio turbo-quant-memory -- uvx turbo-quant-memory serveRequires: TQMEMORY_SECRETS_PASSPHRASE (secret)
skillmem As a local MCP server: PyPI package
claude mcp add --transport stdio skillmem -- uvx skillmem mcpCommands built only from what the marketplaces declare; the full set for every client is on each card.
Tools each declares
Neither one's marketplaces publish a list of tools, so there is nothing to compare.
Settings each asks for
Only Turbo Quant Memory asks for
TQMEMORY_EMBEDDING_BACKENDTQMEMORY_FTS_LANGUAGETQMEMORY_MIGRATE_ON_STARTUPTQMEMORY_SECRETS_PASSPHRASE (secret)
Only skillmem asks for
SKILLMEM_DB
Settings as each marketplace publishes them. Asking for fewer is not better in itself.
What it can do: Turbo Quant Memory · What it can do: skillmem · Compare two other plugins
Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Data comes from public marketplace files in GitHub repositories of their authors. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.