Comparison

Zen vs Turbo Quant Memory

Zen is an MCP server published by BeehiveInnovations. Marketplaces we read that list it: 1 (Docker MCP Catalog). Turbo Quant Memory is an MCP server published by Lexus2016. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-13. 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

Where each is published
Marketplace	Zen	Turbo Quant Memory
Docker MCP Catalog	Listed Version: sha256:02cbe1d325db Forks (GitHub): 1 035 Pulls (Docker Hub): 34 868 Stars (Docker Hub): 0 Stars (GitHub): 11 775 Not marked · First seen 2026-10-11	Not listed
Official MCP Registry	Not listed	Listed Version: 0.30.0 Downloads/month (PyPI): 845 Downloads/week (PyPI): 61 Forks (GitHub): 1 Stars (GitHub): 9 Not marked · First seen 2026-10-11

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

Zen vs Turbo Quant Memory
Fact	Zen	Turbo Quant Memory
Marketplaces that list it	1	1
Stars (GitHub) (differs)	11 775 (better)	9 (worse)
Pulls (Docker Hub) (differs)	34 868	No figure on Docker Hub
Forks (GitHub) (differs)	1 035 (better)	1 (worse)
Last release	Not published	Not published
Where it runs (differs)	On your machine (mcp/zen)	On your machine (turbo-quant-memory)
Transport	stdio	stdio
Tools it declares (differs)	18	Not published
Environment variables it asks for (differs)	4, secrets among them: 4	4, secrets among them: 1
Licence (differs)	NOASSERTION	Not stated
Repository (differs)	github.com/beehiveinnovations/zen-mcp-server	github.com/lexus2016/turbo_quant_memory
Changes in the last 7 days	0	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

Zen

In its own words, on Docker MCP Catalog:

Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.

Turbo Quant Memory

In its own words, on Official MCP Registry:

Local-first memory and knowledge graph for coding agents. Compact retrieval, no network.

How to run each

Zen As a local MCP server: Docker image

Claude Code

claude mcp add --env "GEMINI_API_KEY=<YOUR_GEMINI_API_KEY>" --env "OPENAI_API_KEY=<YOUR_OPENAI_API_KEY>" --env "OPENROUTER_API_KEY=<YOUR_OPENROUTER_API_KEY>" --env "XAI_API_KEY=<YOUR_XAI_API_KEY>" --transport stdio zen -- docker run -i --rm -e GEMINI_API_KEY -e OPENAI_API_KEY -e OPENROUTER_API_KEY -e XAI_API_KEY mcp/zen

Requires: GEMINI_API_KEY (secret), OPENAI_API_KEY (secret), OPENROUTER_API_KEY (secret), XAI_API_KEY (secret)

Turbo Quant Memory As a local MCP server: PyPI package

Claude Code

claude mcp add --env "TQMEMORY_SECRETS_PASSPHRASE=<YOUR_TQMEMORY_SECRETS_PASSPHRASE>" --transport stdio turbo-quant-memory -- uvx turbo-quant-memory serve

Requires: TQMEMORY_SECRETS_PASSPHRASE (secret)

Commands built only from what the marketplaces declare; the full set for every client is on each card.

Tools each declares

The marketplaces of Turbo Quant Memory publish no list of tools, so we do not compare tools.

Settings each asks for

Only Zen asks for

GEMINI_API_KEY (secret)
OPENAI_API_KEY (secret)
OPENROUTER_API_KEY (secret)
XAI_API_KEY (secret)

Only Turbo Quant Memory asks for

TQMEMORY_EMBEDDING_BACKEND
TQMEMORY_FTS_LANGUAGE
TQMEMORY_MIGRATE_ON_STARTUP
TQMEMORY_SECRETS_PASSPHRASE (secret)

Settings as each marketplace publishes them. Asking for fewer is not better in itself.

What it can do: Zen · What it can do: Turbo Quant Memory · Compare two other plugins

Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. 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 2026-10-13. We publish no contact details for plugin publishers.