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DecRec vs Total Agent Memory

DecRec is an MCP server published by decrec.io. Marketplaces we read that list it: 1 (Official MCP Registry). Total Agent Memory is an MCP server published by vbcherepanov. Marketplaces we read that list it: 2 (Official MCP Registry, Community GitHub marketplaces). As of our marketplace pass on 2026-10-26. 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
MarketplaceDecRecTotal Agent Memory
Official MCP Registry Listed
Version: 2026.9.1
Forks (GitHub): 0
Stars (GitHub): 1
Not marked · First seen
Listed
Version: 14.9.0
Downloads/month (PyPI): 1 668
Downloads/week (PyPI): 292
Forks (GitHub): 18
Stars (GitHub): 73
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

DecRec vs Total Agent Memory
FactDecRecTotal Agent Memory
Marketplaces that list it (differs)1 (worse)2 (better)
Stars (GitHub) (differs)1 (worse)73 (better)
Forks (GitHub) (differs)0 (worse)18 (better)
Last release (differs)Not published2026-10-15
Where it runs (differs)Remote server (decrec.io/mcp)On your machine (total-agent-memory)
Transport (differs)Streamable HTTPstdio
Tools it declaresNot publishedNot published
Environment variables it asks for (differs)Not published2, secrets among them: 0
Hooks it runs (differs)Not published9
Parts of the bundle (differs)Not a bundle12
LicenceMITMIT
Repository (differs)github.com/decrec-io/decrec-plugingithub.com/vbcherepanov/total-agent-memory
Changes in the last 7 days00
First seen2026-10-112026-10-11
Endpoint at the last check (differs)Not responding since 2026-10-25no 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

DecRec

In its own words, on Official MCP Registry:

Decision memory for AI agents: record, revisit, and resolve consequential choices.

Total Agent Memory

In its own words, on Official MCP Registry:

Persistent local memory for coding agents: temporal knowledge graph, procedural and episodic recall

How to run each

DecRec As a remote MCP server

Claude Code
claude mcp add --transport http decrec https://decrec.io/mcp

Total Agent Memory As a local MCP server: PyPI package

Claude Code
claude mcp add --transport stdio total-agent-memory -- uvx total-agent-memory

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

Only DecRec 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

The marketplaces of DecRec publish no settings it asks for, so we do not compare settings.

What it can do: DecRec · What it can do: Total Agent Memory · Compare two other plugins

Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. 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