# Orbismo

> Orbismo — com-orbismo-orbismo. Use this tool when you need to create a shared, persistent memory for your AI to access and update in any conversation, solving problems of contextual understanding and knowledge retention. Orbismo allows for seamless read and write operations, enabling your AI to recall and build upon previous interactions. Ideal for use cases requiring continuous learning and adaptive dialogue management.

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

## Description

A persistent world-building memory your AI can read and write in any chat.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

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

## Use it

MCP endpoint published by the skill: `https://app.orbismo.com/api/v1/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-orbismo-orbismo"
    }
  }
}
```

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