# memtrust

> memtrust — rudrendupaul-memtrust. Use this tool when you need to benchmark and evaluate the performance of agent-memory backends, as it provides a reproducible JSON report to compare and optimize memory management. The "run" tool takes in backend configurations as input and outputs a detailed report, making it ideal for identifying memory-related bottlenecks and improving system efficiency. It is particularly useful in development and testing contexts where memory optimization is crucial.

Canonical page: https://skillsregistry.net/skills/rudrendupaul-memtrust  
JSON: https://api.skillsregistry.net/v1/skills/rudrendupaul-memtrust

## Description

MCP server exposing a "run" tool that benchmarks agent-memory backends and returns a reproducible JSON report.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hsomccpamz)
- **Repository:** <https://github.com/RudrenduPaul/memtrust>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "rudrendupaul-memtrust"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rudrendupaul-memtrust` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rudrendupaul-memtrust/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt