# mcp-memwyre

> mcp-memwyre — memwyreai-mcp-memwyre. Use this tool when you need to persist memory across multiple development environments, such as Claude Code, Cursor, VS Code, and OpenClaw, to enable seamless AI agent functionality. It solves the problem of memory loss between sessions and environments, providing a native persistent memory layer for MCP-based AI agents. With git capabilities, it integrates with version control systems, accepting inputs from various development tools and outputting consistent memory states.

Canonical page: https://skillsregistry.net/skills/memwyreai-mcp-memwyre  
JSON: https://api.skillsregistry.net/v1/skills/memwyreai-mcp-memwyre

## Description

MCP-native persistent memory layer for AI agents across Claude Code, Cursor, VS Code, and OpenClaw.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/memwyreai/mcp-memwyre)

## 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": "memwyreai-mcp-memwyre"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/memwyreai-mcp-memwyre` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/memwyreai-mcp-memwyre/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