# genpark-contextual-long-term-episodic-memory-store-skill

> genpark-contextual-long-term-episodic-memory-store-skill — alphaparkinc-genpark-contextual-long-term-episodic-memory-store-skill. Use this tool when you need to store and retrieve long-term episodic memories in a contextual and compressed format, enabling efficient recall of past experiences and knowledge. It solves problems related to information retention and recall, particularly in applications requiring persistent memory storage. The tool accepts input vectors and graphs, processing them into a compressed output for later retrieval.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-contextual-long-term-episodic-memory-store-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-contextual-long-term-episodic-memory-store-skill

## Description

Persistent vector + graph episodic memory retrieval & context compressor

## Trust

- **Trust score (0–1):** 1.00
- **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-contextual-long-term-episodic-memory-store-skill)

## 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-contextual-long-term-episodic-memory-store-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-contextual-long-term-episodic-memory-store-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-contextual-long-term-episodic-memory-store-skill/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