# com.usememra/memra

> com.usememra/memra — com-usememra-memra. Use this tool when you need to provide AI agents with persistent memory for retaining information and recalling knowledge while ensuring privacy and detecting contradictions. It solves problems related to knowledge retention, recall, and consistency in AI decision-making. With hybrid recall capabilities and EU-hosted infrastructure, it offers a secure and reliable interface for storing and retrieving agent memories.

Canonical page: https://skillsregistry.net/skills/com-usememra-memra  
JSON: https://api.skillsregistry.net/v1/skills/com-usememra-memra

## Description

Persistent memory for AI agents. EU-hosted, privacy-first, hybrid recall, contradiction detection.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 4.5.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.usememra%2Fmemra)

## Use it

MCP endpoint published by the skill: `https://usememra.com/mcp`

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": "com-usememra-memra"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-usememra-memra` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-usememra-memra/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