# genpark-meta-muse-episodic-memory-graph-mcp

> genpark-meta-muse-episodic-memory-graph-mcp — alpha-park-genpark-meta-muse-episodic-memory-graph-mcp. Use this tool when you need to integrate multimodal perception with continuous episodic memory streams to enhance model performance. It solves problems related to information retention and recall by fusing ambient data with recency-based memory decay, providing a unified native Model Context Protocol (MCP) server interface. This tool is ideal for applications requiring dynamic, adaptive memory management, accepting multimodal perception and episodic memory streams as inputs and generating a unified knowledge graph as output.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-meta-muse-episodic-memory-graph-mcp  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-genpark-meta-muse-episodic-memory-graph-mcp

## Description

Native Model Context Protocol (MCP) server fusing Meta ambient multimodal perception with Muse continuous episodic memory streams and Ebbinghaus 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
- **License:** MIT
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/Alpha-Park/genpark-meta-muse-episodic-memory-graph-mcp)

## 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": "alpha-park-genpark-meta-muse-episodic-memory-graph-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-meta-muse-episodic-memory-graph-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-meta-muse-episodic-memory-graph-mcp/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
