# Mnemoverse Memory

> Use this tool when you need to retain and recall knowledge across multiple AI agents, including Claude, Cursor, ChatGPT, and MCP, to enable seamless semantic recall and persistent long-term memory. It solves problems of knowledge fragmentation and forgetting, allowing for consistent and accurate information retrieval. Ideal for use cases requiring continuous learning and memory retention across various AI interfaces.

Canonical page: https://skillsregistry.net/skills/mnemoverse-mcp-memory-server  
JSON: https://api.skillsregistry.net/v1/skills/mnemoverse-mcp-memory-server

## Description

Persistent long-term memory for AI agents — semantic recall across Claude, Cursor, ChatGPT & MCP.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kbeqit4xs5)
- **Repository:** <https://github.com/mnemoverse/mcp-memory-server>

## 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": "mnemoverse-mcp-memory-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mnemoverse-mcp-memory-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mnemoverse-mcp-memory-server/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