# mind

> mind — da7-tech-mind. Use this tool when you need to retain and recall knowledge in AI coding agents, solving problems of information loss and reproducibility. It captures and consolidates knowledge automatically, providing explainable recall and portable offline storage with robust privacy controls. Ideal for AI development and deployment, this tool integrates seamlessly with git for version control and collaboration.

Canonical page: https://skillsregistry.net/skills/da7-tech-mind  
JSON: https://api.skillsregistry.net/v1/skills/da7-tech-mind

## Description

Persistent memory for AI coding agents: automatic capture, explainable recall, knowledge consolidation, privacy controls, and portable offline storage. One Python file, zero dependencies.

## Trust

- **Trust score (0–1):** 0.01
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Da7-Tech/mind)

## 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": "da7-tech-mind"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/da7-tech-mind` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/da7-tech-mind/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