# Soul

> Use this tool when you need to maintain continuity across AI agent sessions or enable collaboration between multiple agents. It solves problems of data loss and context switching by providing persistent memory and handoffs, allowing for seamless interactions and shared understanding. With Soul, AI agents can accept and generate context-specific inputs and outputs, making it ideal for use cases requiring multi-session or multi-agent workflows.

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

## Description

Gives AI agents persistent memory, handoffs, and shared context across sessions, enabling seamless continuity and multi-agent collaboration.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/l56xku3gr1)
- **Repository:** <https://github.com/choihyunsus/soul>

## 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": "choihyunsus-soul"
    }
  }
}
```

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