# mind-cloud

> mind-cloud — codependentai-mind-cloud. Use this tool when you need to create a persistent AI memory server with advanced capabilities such as semantic search, emotional processing, and identity continuity. The mind-cloud tool solves problems related to AI knowledge retention and recall, providing a robust interface for inputting and outputting complex data through 28 integrated tools. It is ideal for use cases requiring long-term AI memory and learning, with seamless integration via git.

Canonical page: https://skillsregistry.net/skills/codependentai-mind-cloud  
JSON: https://api.skillsregistry.net/v1/skills/codependentai-mind-cloud

## Description

MCP server for persistent AI memory. 28 tools — semantic search, emotional processing, identity continuity, subconscious daemon. Built on Cloudflare Workers + D1 + Vectorize.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** cloud-infra
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/codependentai/mind-cloud)

## 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": "codependentai-mind-cloud"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/codependentai-mind-cloud` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/codependentai-mind-cloud/pull`

---
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