# marm-memory

> Use this tool when you need to enhance AI agents with persistent memory and structured session context, enabling them to learn, remember, and collaborate across workflows. It solves problems of knowledge retention and information sharing between AI tools, providing a unified context for more effective decision-making. With inputs of session data and outputs of informed AI actions, use MARM MCP in multi-tool workflows where agent collaboration and knowledge persistence are crucial.

Canonical page: https://skillsregistry.net/skills/lyellr88-marm-mcp  
JSON: https://api.skillsregistry.net/v1/skills/lyellr88-marm-mcp

## Description

MARM MCP provides persistent memory and structured session context beneath any AI tool, so your agents learn, remember, and collaborate across all your workflows.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-07-20

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b0iz5nn2cb)
- **Repository:** <https://github.com/Lyellr88/marm-memory>

## 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": "lyellr88-marm-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lyellr88-marm-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lyellr88-marm-mcp/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