# genpark-agent-hybrid-memory-retriever-skill

> genpark-agent-hybrid-memory-retriever-skill — alpha-park-genpark-agent-hybrid-memory-retriever-skill. Use this tool when you need to efficiently retrieve information from large datasets, leveraging a combination of keyword search, semantic similarity, and recency-based ranking to solve information retrieval and memory recall problems. It takes in query inputs and returns relevant information outputs, ranked by relevance and recency. Ideal for applications requiring advanced episodic long-term memory capabilities, such as chatbots and virtual assistants.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-agent-hybrid-memory-retriever-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-genpark-agent-hybrid-memory-retriever-skill

## Description

Production-grade hybrid sparse-dense memory retrieval engine combining BM25 keyword search, semantic n-gram cosine similarity, and recency decay ranking for agent episodic long-term memory.

## 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/Alpha-Park/genpark-agent-hybrid-memory-retriever-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": "alpha-park-genpark-agent-hybrid-memory-retriever-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-agent-hybrid-memory-retriever-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-agent-hybrid-memory-retriever-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
