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Comparison

Continual Learning vs io.github.memtomem/memtomem

Continual Learning is a plugin bundle for AI coding tools published by Eric Zakariasson. Marketplaces we read that list it: 1 (Cursor: cursor/plugins). io.github.memtomem/memtomem is an MCP server published by memtomem. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-12. 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
MarketplaceContinual Learningio.github.memtomem/memtomem
Cursor: cursor/plugins Listed
Version: 1.0.0
Forks (GitHub): 1 037
Stars (GitHub): 10 861
Not marked · First seen
Not listed
Official MCP Registry Not listed Listed
Version: 0.6.8
Forks (GitHub): 32
Stars (GitHub): 15
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

Continual Learning vs io.github.memtomem/memtomem
FactContinual Learningio.github.memtomem/memtomem
Marketplaces that list it11
Stars (GitHub) (differs)10 861 (better)15 (worse)
Forks (GitHub) (differs)1 037 (better)32 (worse)
Last releaseNot publishedNot published
Where it runs (differs)Installs as a plugin bundleOn your machine (memtomem)
Transport (differs)Not statedstdio
Tools it declaresNot publishedNot published
Environment variables it asks forNot publishedNot published
Hooks it runs (differs)1Not published
Parts of the bundle (differs)3Not a bundle
Licence (differs)MITNot stated
Repository (differs)github.com/cursor/pluginsgithub.com/memtomem/memtomem
Changes in the last 7 days00
First seen2026-10-112026-10-11

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

Continual Learning

In its own words, on Cursor: cursor/plugins:

Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.

io.github.memtomem/memtomem

In its own words, on Official MCP Registry:

Markdown-first long-term memory for AI agents. Hybrid BM25 + vector search, runs locally.

How to run each

Continual Learning

No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.

io.github.memtomem/memtomem As a local MCP server: PyPI package

Claude Code
claude mcp add --transport stdio memtomem -- uvx memtomem

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

Neither one's marketplaces publish the settings it asks for.

What it can do: Continual Learning · What it can do: io.github.memtomem/memtomem · Compare two other plugins

Data comes from the public marketplace file https://github.com/cursor/plugins/blob/HEAD/.cursor-plugin/marketplace.json. 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