# memside

> memside — memside-memside. Use this tool when you need to maintain continuity and memory across conversations with various AI models, such as ChatGPT, Claude, and MCP clients. It solves problems of context loss and disjointed interactions by providing a centralized hub for cross-AI context, accepting input from multiple AI sources and outputting unified, continuous conversation history. Ideal for use cases requiring seamless AI interactions, memside integrates with git for version control and management.

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

## Description

AI continuity and memory hub for ChatGPT, Claude, MCP clients, and cross-AI context

## Trust

- **Trust score (0–1):** 0.58
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/memside/memside)

## 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": "memside-memside"
    }
  }
}
```

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