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Comparison

Memory.fit vs PraisonAI

Memory.fit is an MCP server published by memory.fit. Marketplaces we read that list it: 1 (Official MCP Registry). PraisonAI is an MCP server published by MervinPraison. Marketplaces we read that list it: 2 (Official MCP Registry, PyPI (MCP servers)). As of our marketplace pass on 2026-11-14. 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
MarketplaceMemory.fitPraisonAI
Official MCP Registry Listed
Version: 1.0.0
Forks (GitHub): 0
Stars (GitHub): 0
Not marked · First seen
Listed
Version: 2.3.42
Downloads/month (PyPI): 14 420
Downloads/week (PyPI): 1 927
Forks (GitHub): 1 505
Stars (GitHub): 9 336
Not marked · First seen
PyPI (MCP servers) Not listed Listed
Version: 0.1.23
Downloads/month (PyPI): 3 096
Downloads/week (PyPI): 1 605
Forks (GitHub): 1 505
Stars (GitHub): 9 336
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

Memory.fit vs PraisonAI
FactMemory.fitPraisonAI
Marketplaces that list it (differs)1 (worse)2 (better)
Stars (GitHub) (differs)0 (worse)9 336 (better)
Forks (GitHub) (differs)0 (worse)1 505 (better)
Last release (differs)Not published2026-11-05
Where it runs (differs)Remote server (api.memory.fit/mcp)On your machine (praisonai)
Transport (differs)Streamable HTTPstdio
Tools it declaresNot publishedNot published
Environment variables it asks forNot publishedNot published
Licence (differs)Not statedMIT
Repository (differs)github.com/fun-management-srl/memory-fit-mcpgithub.com/mervinpraison/praisonai
Changes in the last 7 days00
First seen (differs)2026-10-272026-10-11
Endpoint at the last check (differs)Responded 15 h ago, requires authenticationno 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

Memory.fit

In its own words, on Official MCP Registry:

Your training, sleep, recovery and fuel for the AI you use: it reads your week and plans the next.

PraisonAI

In its own words, on Official MCP Registry:

AI Agents Framework with Self Reflection and MCP support

How to run each

Memory.fit As a remote MCP server

Claude Code
claude mcp add --transport http memory-fit https://api.memory.fit/mcp

PraisonAI As a local MCP server: PyPI package

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

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

Only Memory.fit has a remote endpoint we check. How we check endpoints

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: Memory.fit · What it can do: PraisonAI · 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). 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