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Emdee — Markdown knowledge graph for humans and agents vs NeuroStack

Emdee — Markdown knowledge graph for humans and agents is a plugin bundle for AI coding tools published by AI System Resources. Marketplaces we read that list it: 1 (Community GitHub marketplaces). NeuroStack is an MCP server published by raphasouthall. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-14. 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
MarketplaceEmdee — Markdown knowledge graph for humans and agentsNeuroStack
Community marketplace aisystemresources/emdee-plugin-claude Listed
Version: 1.1.0
No figure published
Not marked · First seen
Not listed
Official MCP Registry Not listed Listed
Version: 0.12.0
Downloads/month (npm): 447
Downloads/week (npm): 41
Forks (GitHub): 5
Stars (GitHub): 47
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

Emdee — Markdown knowledge graph for humans and agents vs NeuroStack
FactEmdee — Markdown knowledge graph for humans and agentsNeuroStack
Marketplaces that list it11
Stars (GitHub) (differs)No figure on GitHub47
Forks (GitHub) (differs)No figure on GitHub5
Last releaseNot publishedNot published
Where it runs (differs)Remote server (emdee.tech/api/mcp)Remote server (mcp.neurostack.sh/mcp)
TransportStreamable HTTPStreamable HTTP
Tools it declaresNot publishedNot published
Environment variables it asks for (differs)Not published1, secrets among them: 0
Parts of the bundle (differs)2Not a bundle
Licence (differs)MITNot stated
Repository (differs)github.com/aisystemresources/emdee-plugin-claudegithub.com/raphasouthall/neurostack
Changes in the last 7 days (differs)20
First seen (differs)2026-10-142026-10-11
Endpoint at the last checknot checked yetnot checked yet

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

Emdee — Markdown knowledge graph for humans and agents

In its own words, on Community GitHub marketplaces:

A markdown knowledge graph shared by humans and their AI agents. Bundles the emdee.tech MCP server + 5 skills that teach vault conventions and workflows.

NeuroStack

In its own words, on Official MCP Registry:

Token-efficient MCP memory for Markdown vaults. Tiered search, GraphRAG, AI memories.

How to run each

Emdee — Markdown knowledge graph for humans and agents As a Claude Code plugin

Claude Code
/plugin marketplace add aisystemresources/emdee-plugin-claude
/plugin install emdee@aisystemresources

NeuroStack As a remote MCP server

Claude Code
claude mcp add --transport http neurostack https://mcp.neurostack.sh/mcp

Commands 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 Emdee — Markdown knowledge graph for humans and agents publish no settings it asks for, so we do not compare settings.

What it can do: Emdee — Markdown knowledge graph for humans and agents · What it can do: NeuroStack · Compare two other plugins

Data comes from public marketplace files in GitHub repositories of their authors. 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.

Where the data comes from: how the catalog is built