# MemWhale

> MemWhale — zeynepbecker-memwhale. Use this tool when you need to retain a record of coding interactions, including commands, outputs, and errors, to streamline development and troubleshooting processes. MemWhale solves problems of lost knowledge and repeated mistakes by storing this information locally in SQLite and serving it over MCP. It is ideal for use with git, providing developers with a persistent memory of their coding history and fixes.

Canonical page: https://skillsregistry.net/skills/zeynepbecker-memwhale  
JSON: https://api.skillsregistry.net/v1/skills/zeynepbecker-memwhale

## Description

Persistent, local memory for developers and their coding agents. Records commands, output, errors, and the fixes that worked into SQLite and serves them over MCP.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-10-17

## Source

- **Source listing:** [GitHub](https://github.com/zeynepbecker/MemWhale)

## 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": "zeynepbecker-memwhale"
    }
  }
}
```

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