TMCRA Agent Memory vs Perenna
TMCRA Agent Memory is an MCP server published by reshuibuduo. Marketplaces we read that list it: 1 (Official MCP Registry). Perenna is an MCP server published by scarletkc. Marketplaces we read that list it: 2 (Official MCP Registry, Community GitHub marketplaces). As of our marketplace pass on 2026-10-29. 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
| Marketplace |  TMCRA Agent Memory |  Perenna |
|---|---|---|
| Official MCP Registry | Listed Version: 1.0.0-rc.1 Forks (GitHub): 0 Stars (GitHub): 0 Not marked · First seen |
Listed Version: 0.4.1 Downloads/month (PyPI): 248 Downloads/week (PyPI): 50 Forks (GitHub): 3 Stars (GitHub): 61 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
| Fact | TMCRA Agent Memory | Perenna |
|---|---|---|
| Marketplaces that list it (differs) | 1 (worse) | 2 (better) |
| Stars (GitHub) (differs) | 0 (worse) | 61 (better) |
| Forks (GitHub) (differs) | 0 (worse) | 3 (better) |
| Last release | Not published | Not published |
| Where it runs (differs) | On your machine (https://github.com/reshuibuduo/tmcra-mcp-server/releases/download/v1.0.0-rc.1/tmcra-mcp-server-1.0.0-rc.1.mcpb) | On your machine (perenna) |
| Transport | stdio | stdio |
| Tools it declares | Not published | Not published |
| Environment variables it asks for (differs) | Not published | 4, secrets among them: 2 |
| Parts of the bundle (differs) | Not a bundle | 2 |
| Licence (differs) | Not stated | MIT |
| Repository (differs) | github.com/reshuibuduo/tmcra-mcp-server | github.com/scarletkc/perenna |
| Changes in the last 7 days | 0 | 0 |
| First seen | 2026-10-11 | 2026-10-11 |
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
TMCRA Agent Memory
Role-aware Agent memory with cross-session recall, durable writes, and multi-Agent project scope.
Perenna
A lightweight, Git-backed permanent memory for AI agents.
How to run each
TMCRA Agent Memory
No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.
Perenna As a local MCP server: PyPI package
claude mcp add --env "VEXOR_API_KEY=<YOUR_VEXOR_API_KEY>" --env "VEXOR_REMOTE_RERANK_API_KEY=<YOUR_VEXOR_REMOTE_RERANK_API_KEY>" --transport stdio perenna -- uvx perenna mcpRequires: VEXOR_API_KEY (secret), VEXOR_REMOTE_RERANK_API_KEY (secret)
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 TMCRA Agent Memory publish no settings it asks for, so we do not compare settings.
What it can do: TMCRA Agent Memory · What it can do: Perenna · 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.