Ext Ops Panel
Open dashboard
Comparison

Learning Optimizer vs io.github.cdeust/hypermnesia-mcp

Learning Optimizer is an MCP server published by saifs.ai. Marketplaces we read that list it: 1 (Official MCP Registry). io.github.cdeust/hypermnesia-mcp is an MCP server published by cdeust. Marketplaces we read that list it: 3 (Official MCP Registry, PyPI (MCP servers), Community GitHub marketplaces). 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

Where each is published
MarketplaceLearning Optimizerio.github.cdeust/hypermnesia-mcp
Official MCP Registry Listed
Version: 1.0.0
No figure published
Not marked · First seen
Listed
Version: 4.23.5
Downloads/month (PyPI): 1 993
Downloads/week (PyPI): 263
Forks (GitHub): 15
Stars (GitHub): 75
Not marked · First seen
PyPI (MCP servers) Not listed Listed
Version: 4.23.5
Downloads/month (PyPI): 1 993
Downloads/week (PyPI): 263
Forks (GitHub): 15
Stars (GitHub): 75
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

Learning Optimizer vs io.github.cdeust/hypermnesia-mcp
FactLearning Optimizerio.github.cdeust/hypermnesia-mcp
Marketplaces that list it (differs)1 (worse)3 (better)
Stars (GitHub) (differs)No figure on GitHub75
Forks (GitHub) (differs)No figure on GitHub15
Last releaseNot publishedNot published
Where it runs (differs)Remote server (learning-optimizer-mcp.saifs.ai/mcp)On your machine (hypermnesia-mcp)
Transport (differs)Streamable HTTPstdio
Tools it declaresNot publishedNot published
Environment variables it asks for (differs)Not published3, secrets among them: 0
Hooks it runs (differs)Not published12
Parts of the bundle (differs)Not a bundle26
Licence (differs)Not statedMIT
Repository (differs)Not statedgithub.com/cdeust/cortex
Changes in the last 7 days (differs)20
First seen (differs)2026-10-222026-10-11
Endpoint at the last check (differs)not checked yetno remote endpoint we check

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

Learning Optimizer

In its own words, on Official MCP Registry:

Schedule spaced reviews and exam study plans from each learner's forgetting curve.

io.github.cdeust/hypermnesia-mcp

In its own words, on Official MCP Registry:

Persistent memory for AI agents — 36 cited neuroscience mechanisms, local-first, hybrid retrieval.

How to run each

Learning Optimizer As a remote MCP server

Claude Code
claude mcp add --transport http learning-optimizer https://learning-optimizer-mcp.saifs.ai/mcp

io.github.cdeust/hypermnesia-mcp As a local MCP server: PyPI package

Claude Code
claude mcp add --transport stdio hypermnesia-mcp -- uvx hypermnesia-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 Learning Optimizer publish no settings it asks for, so we do not compare settings.

What it can do: Learning Optimizer · What it can do: io.github.cdeust/hypermnesia-mcp · Compare two other plugins

Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Package data comes from the Python Package Index (pypi.org). 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.

Where the data comes from: how the catalog is built