Is the helios-mcp MCP server actively maintained?

The helios-mcp MCP server was last committed 6d ago and has 0 contributors. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

helios-mcp MCP Server

Name: akougkas/helios-mcp
Rating: 3.2 (1 reviews)
Author: akougkas

akougkas/helios-mcp

Score: 56.0 Rank #7559 Agent Framework

Are you the maintainer of akougkas/helios-mcp? Claim this listing →

☀️Helios MCP: Give your AI permanent memory & personality! Install once, AI remembers forever. No more repeating context through versioned memory, behavioral & pattern learning, and multi-agent sync. UV-powered FastMCP server to teach your AI preferences and working styles that evolve through usage. Not a RAG system! Try today!☀️

Add AgentRank to Claude Code Discover and compare tools like akougkas/helios-mcp — your AI finds the right one automatically

Get API Access →

claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

akougkas/helios-mcp is a Python tool licensed under MIT. ☀️Helios MCP: Give your AI permanent memory & personality! Install once, AI remembers forever. No more repeating context through versioned memory, behavioral & pattern learning, and multi-agent sync. UV-powered FastMCP server to teach your AI preferences and working styles that evolve through usage. Not a RAG system! Try today!☀️

Ranked #7559 out of 24840 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Python MIT

Score Breakdown

Stars 15% 2

2 stars → early stage

Freshness 25% 6d ago

Last commit 6d ago → actively maintained

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 1

Description Detailed

License MIT

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

How to Improve

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

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

Badge all embed codes →

Markdown

[![AgentRank](https://agentrank-ai.com/api/badge/tool/akougkas--helios-mcp)](https://agentrank-ai.com/tool/akougkas--helios-mcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

HTML

<a href="https://agentrank-ai.com/tool/akougkas--helios-mcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/badge/tool/akougkas--helios-mcp" alt="AgentRank"></a>

Embed Widget docs →

HTML

<script src="https://agentrank-ai.com/embed.js" data-tool="akougkas/helios-mcp"></script>

Details

Stars: 2
Forks: 1
Open Issues: 0
Closed Issues: 0
Contributors: 0
Dependents: —
Language: Python
License: MIT
Last Commit: 6d ago

Matched Queries

topic:mcptopic:mcp-server

See alternatives to akougkas/helios-mcp → Browse agent-framework category → Compare akougkas/helios-mcp → A2A vs MCP: Agent Protocol Comparison →What is MCP? Model Context Protocol Explained →

View on GitHub →