Is the genpark-agent-hybrid-memory-retriever-skill MCP server actively maintained?

The genpark-agent-hybrid-memory-retriever-skill MCP server was last committed 21d ago and has 0 contributors. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

genpark-agent-hybrid-memory-retriever-skill MCP Server

Name: Alpha-Park/genpark-agent-hybrid-memory-retriever-skill
Rating: 3.1 (1 reviews)
Author: Alpha-Park

Alpha-Park/genpark-agent-hybrid-memory-retriever-skill

Score: 51.5 Rank #16129 MCP Server

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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.

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Overview

Alpha-Park/genpark-agent-hybrid-memory-retriever-skill is a Python tool. 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.

Ranked #16129 out of 24846 indexed tools.

Ecosystem

Python NOASSERTION

Score Breakdown

Stars 15% 7

7 stars → early stage

Freshness 25% 21d ago

Last commit 21d ago → recently updated

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 0

0 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 0

Description Detailed

License NOASSERTION

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

License low impact

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Contributors medium impact

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Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Markdown

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Details

Stars: 7
Forks: 0
Open Issues: 0
Closed Issues: 0
Contributors: 0
Dependents: —
Language: Python
License: NOASSERTION
Last Commit: 21d ago

Matched Queries

topic:mcptopic:mcp-servertopic:model-context-protocol

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