# Mem·Sum

> Mem·Sum — docgotham-memsum. Use this tool when you need to collaborate with small groups on shared projects, requiring a secure and version-controlled workspace to draft and publish updates. Mem·Sum solves problems of data inconsistency and security risks by providing a centralized hub for AI agents to read and write atomic updates. It accepts input from AI assistants and outputs a unified, up-to-date workspace for all group members.

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

## Description

Mem·Sum is a shared memory workspace for small groups accessible via AI assistants, enabling agents to read, draft, and publish atomic updates to a shared workspace with version control and security.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uqbvr3bewj)
- **Repository:** <https://github.com/docgotham/memsum>

## 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": "docgotham-memsum"
    }
  }
}
```

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