# MemoryMCP

> Use this tool when you need to enable persistent memory capabilities for any AI, allowing them to retain and recall information over time. MemoryMCP solves the problem of AI models lacking long-term memory, making it suitable for applications requiring continuous learning and data retention. It takes in AI model inputs and outputs stored memory data, ideal for use cases such as chatbots, virtual assistants, and personalized recommendation systems.

Canonical page: https://skillsregistry.net/skills/jhongjun1981-memorymcp  
JSON: https://api.skillsregistry.net/v1/skills/jhongjun1981-memorymcp

## Description

通用AI记忆服务 - 让任何AI拥有持久记忆能力

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-13

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/jhongjun1981/MemoryMCP)

## 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": "jhongjun1981-memorymcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jhongjun1981-memorymcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jhongjun1981-memorymcp/pull`

---
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