# genpark-agent-hierarchical-episodic-memory-skill

> genpark-agent-hierarchical-episodic-memory-skill — alphaparkinc-genpark-agent-hierarchical-episodic-memory-skill. Use this tool when you need to manage complex conversations and recall past interactions with exponential recency decay, solving problems of information retention and context switching. It takes in dialogue inputs and outputs relevant episodic memories, providing a hierarchical episodic memory framework. Ideal for applications requiring advanced cognitive memory management, such as chatbots and virtual assistants.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-agent-hierarchical-episodic-memory-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-agent-hierarchical-episodic-memory-skill

## Description

Cognitive multi-tier memory kernel managing working scratchpad, sliding dialogue buffer, and episodic memories with exponential recency decay.

## 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:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/alphaparkinc/genpark-agent-hierarchical-episodic-memory-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-agent-hierarchical-episodic-memory-skill"
    }
  }
}
```

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