# genpark-memory-lake

> genpark-memory-lake — alphaparkinc-genpark-memory-lake. Use this tool when you need to manage and store AI agent memories locally and privately, enabling lifelong learning and knowledge retention. It solves problems of data privacy and portability, allowing agents to recall and build upon past experiences. With git capabilities, it provides a version-controlled interface for inputting and outputting memory data.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-memory-lake  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-memory-lake

## Description

Local, private, and portable lifelong memory management for AI agents.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/alphaparkinc/genpark-memory-lake)

## 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": "alphaparkinc-genpark-memory-lake"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-memory-lake` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-memory-lake/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