# Heirmos

> Use this tool when you need to access and share information across multiple AI models, such as Claude, ChatGPT, and Grok, to maintain context and consistency in conversations. Heirmos provides a persistent memory that stores and retrieves data, solving problems of knowledge continuity and forgetting. It accepts input from various MCP clients and outputs shared memory data, ideal for use cases requiring multi-model collaboration and information retention.

Canonical page: https://skillsregistry.net/skills/com-heirmos-memory  
JSON: https://api.skillsregistry.net/v1/skills/com-heirmos-memory

## Description

Persistent memory shared across Claude, ChatGPT, Grok and other MCP clients.

## 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:** 2026-06-12

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.heirmos%2Fmemory)

## Use it

MCP endpoint published by the skill: `https://mcp.heirmos.com/mcp`

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": "com-heirmos-memory"
    }
  }
}
```

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