# supermemory

> Use this tool when you need to retain and recall context across multiple AI interactions, saving time and effort by avoiding repetitive inputs. Supermemory solves the problem of lost context and conversation history, providing a seamless experience across various AI tools like Claude, Cursor, and chatgpt. It takes in user conversations and outputs a persistent memory that can be accessed anywhere, making it ideal for complex tasks and multi-step interactions.

Canonical page: https://skillsregistry.net/skills/supermemory  
JSON: https://api.skillsregistry.net/v1/skills/supermemory

## Description

Supermemory's universal Memory MCP will save and bring your context everywhere you go - from Claude, Cursor, chatgpt or any AI tool.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-11

## Source

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

## 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": "supermemory"
    }
  }
}
```

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