Turbo Quant Memory vs codecalc
Turbo Quant Memory is an MCP server published by Lexus2016. Marketplaces we read that list it: 1 (Official MCP Registry). codecalc is an MCP server published by The-40-Thieves. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-24. 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 |  codecalc |
|---|---|---|
| Official MCP Registry | Listed Version: 0.34.0 Downloads/month (PyPI): 845 Downloads/week (PyPI): 478 Forks (GitHub): 1 Stars (GitHub): 9 Not marked · First seen |
Listed Version: 0.13.0 Downloads/month (PyPI): 2 194 Downloads/week (PyPI): 209 Forks (GitHub): 1 Stars (GitHub): 5 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 | codecalc |
|---|---|---|
| Marketplaces that list it | 1 | 1 |
| Stars (GitHub) (differs) | 9 (better) | 5 (worse) |
| Forks (GitHub) | 1 | 1 |
| Last release (differs) | 2026-10-21 | Not published |
| Where it runs (differs) | On your machine (turbo-quant-memory) | On your machine (codecalc) |
| Transport | stdio | stdio |
| Tools it declares | Not published | Not published |
| Environment variables it asks for (differs) | 4, secrets among them: 1 | Not published |
| Licence | Not stated | Not stated |
| Repository (differs) | github.com/lexus2016/turbo_quant_memory | github.com/the-40-thieves/codecalc |
| Changes in the last 7 days (differs) | 3 | 0 |
| 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.
codecalc
Code & logic calculator for AI agents: 31 languages, symbolic math, SMT/logic solving, Big-O.
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)
codecalc As a local MCP server: PyPI package
claude mcp add --transport stdio codecalc -- uvx codecalcCommands 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
The marketplaces of codecalc publish no settings it asks for, so we do not compare settings.
What it can do: Turbo Quant Memory · What it can do: codecalc · Compare two other plugins
Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.