# io.github.purmemo-ai/purmemo

> Use this tool when you need to retain context and continuity across multiple AI models, including Claude, ChatGPT, Gemini, and Cursor. It solves the problem of fragmented conversations by allowing users to save, search, and recall context from previous interactions. With input capabilities for storing and retrieving information, and outputting relevant context, this tool is ideal for use cases where conversational continuity is essential.

Canonical page: https://skillsregistry.net/skills/io-github-purmemo-ai-purmemo  
JSON: https://api.skillsregistry.net/v1/skills/io-github-purmemo-ai-purmemo

## Description

AI memory across Claude, ChatGPT, Gemini, and Cursor. Save, search, and recall context everywhere.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 12.9.5
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.purmemo-ai%2Fpurmemo)
- **Repository:** <https://github.com/purmemo-ai/purmemo-mcp>

## 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": "io-github-purmemo-ai-purmemo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-purmemo-ai-purmemo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-purmemo-ai-purmemo/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