# amnesic

> Use this tool when you need to retain persistent semantic memory for your SQL databases, solving data loss and recall issues. It provides a comprehensive memory of database interactions, accepting SQL queries as input and generating detailed records as output. Ideal for use cases requiring data auditing, version control, and change tracking in database management systems.

Canonical page: https://skillsregistry.net/skills/surajkgoyal-amnesic  
JSON: https://api.skillsregistry.net/v1/skills/surajkgoyal-amnesic

## Description

Persistent semantic memory for your SQL databases. The name is ironic — it remembers everything.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xv8h7tdtyn)
- **Repository:** <https://github.com/SurajKGoyal/amnesic>

## 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": "surajkgoyal-amnesic"
    }
  }
}
```

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