HARTOS — security grade SAFE, quality 63/100

Security audit verdict: SAFE · quality 63/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by hertz-ai · MCP Server · ★ 52

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About HARTOS

HART OS Hevolve Hive Agentic Runtime Democratic frontier intelligence with zero lock-in, fronted by an agentic OS. An AI-native operating system. Models run on your own hardware, nodes federate directly with each other, and the API is OpenAI-compatible. What it is? An assistant that runs on your own machine, with no subscription, that works with the wifi off. What you type stays on the device because there is nowhere else for it to go, and you can watch the network to check. 8GB of RAM is enough, and on 8GB it is the modest version. Exactly what you get at which spec is in Start it, because that is where it matters. On a hard question a frontier model beats anything

agent-frameworkagentic-aiai-agentai-runtimechatbotcomputer-usefederated-learningllmlocal-firstlocal-llm

Quick Facts

Stars52
Forks7
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score62.6912117651446/100
Open Issues27
Last Updated2026-10-03
Created2023-06-19
Platformsmcp, python
Est. Tokens~18k

Compatible Skills

These tools work well together with HARTOS for enhanced workflows:

  • os-ai-computer-use — semantic(0.26)+complementary+shared_fw(openai)+same_lang+similar_pop+shared_platform (67%)
  • CatGPT-Gateway — semantic(0.23)+complementary+shared_fw(openai)+same_lang+similar_pop+shared_platform (66%)
  • captain-claw — semantic(0.22)+complementary+shared_fw(openai)+same_lang+similar_pop+shared_platform (66%)
  • promptmask — semantic(0.21)+complementary+shared_fw(openai)+same_lang+similar_pop+shared_platform (65%)

HARTOS alternative? Top 6 similar tools

Looking for a HARTOS alternative? If you're comparing HARTOS with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • captain-claw by kstevica · ⭐ 167

    Self-hosted framework for orchestrating fleets of specialist AI agents — ensemble reasoning and a full agentic

  • chibi by s-nagaev · ⭐ 56

    Your Digital Companion. Self-hosted Telegram bot orchestrating multiple AI providers (OpenAI, Anthropic, Googl

  • OmoiOS by kivo360 · ⭐ 78

    Turn feature specs into merged PRs with a self-supervising swarm of coding agents — parallel execution, isolat

  • zeph by bug-ops · ⭐ 62

    A memory-first AI agent that remembers why decisions were made — not just the last message. Runs local (Ollama

  • omega-memory by omega-memory · ⭐ 219

    Persistent memory for AI coding agents

  • ai-agent-tools-catalog by GetStream · ⭐ 205

    Explore the must-have external ready-made toolkits to integrate with your AI agents built with Python and Type

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Frequently Asked Questions

What is HARTOS?

HARTOS is An AI-native OS. Models run on your own hardware, nodes federate peer-to-peer with no broker, and the API is OpenAI-compatible. Boots, has its own Wayland compositor, and runs on 8GB. Apache 2.0.. It is categorized as a MCP Server with 52 GitHub stars.

What programming language is HARTOS written in?

HARTOS is primarily written in Python. It covers topics such as agent-framework, agentic-ai, ai-agent.

How do I install or use HARTOS?

You can find installation instructions and usage details in the HARTOS GitHub repository at github.com/hertz-ai/HARTOS. The project has 52 stars and 7 forks, indicating an active community.

What license does HARTOS use?

HARTOS is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to HARTOS?

The top alternatives to HARTOS on Agent Skills Hub include captain-claw, chibi, OmoiOS. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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