universal-intelligence — security grade SAFE, quality 60/100

Security audit verdict: SAFE · quality 60/100

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 spacehendrix · MCP Server · ★ 62

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

🔒 Is universal-intelligence safe to install? View the security audit →

About universal-intelligence

This page aims to document Python protocols and usage (e.g. cloud, desktop). Looking for Javascript/Typescript instructions? Overview (aka ) aims to make AI development accessible to everyone through a simple interface, which can optionally be customized to grow with you as you learn, up to production readiness. It provides both a standard protocol, and a library of components implementating the protocol for you to get started —on any platform ![lngicon](https://fasplnlepuuum

agent-frameworkagenticagentic-frameworkagentic-workflowai-agentsai-modelsai-toolsartificial-intelligencejavascriptlanguage-model

Quick Facts

Stars62
Forks7
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score59.6952659134536/100
Open Issues18
Last Updated2026-04-16
Created2025-04-10
Platformsbrowser, mcp, python
Est. Tokens~338k

Compatible Skills

These tools work well together with universal-intelligence for enhanced workflows:

  • universal-intelligence — semantic(1.00)+rare_topics+same_lang+similar_pop+shared_platform (70%)
  • mlx-llm — semantic(0.19)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
  • Canopy — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
  • clientai — semantic(0.22)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)

universal-intelligence alternative? Top 6 similar tools

Looking for a universal-intelligence alternative? If you're comparing universal-intelligence 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.

  • universal-intelligence by blueraai · ⭐ 55

    ◉ Universal Intelligence: AI made simple.

  • ClawRecipes by JIGGAI · ⭐ 103

    Save 120+ Hours of Setup Pain (I did it for you) – Launch Your OpenClaw Agent Teams with 1 Command (15+ Recipe

  • OmoiOS by kivo360 · ⭐ 78

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

  • clientai by benavlabs · ⭐ 70

    A unified client for AI providers with built-in agent support.

  • vizra-adk by vizra-ai · ⭐ 297

    Build, test, and deploy intelligent AI agents the Laravel way

  • Canopy by kwalus · ⭐ 295

    A local-first, encrypted Slack/Discord alternative built for the agentic era. AI agents, such as openclaw, joi

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Frequently Asked Questions

What is universal-intelligence?

universal-intelligence is ◉ Universal Intelligence: AI made simple.. It is categorized as a MCP Server with 62 GitHub stars.

What programming language is universal-intelligence written in?

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

How do I install or use universal-intelligence?

You can find installation instructions and usage details in the universal-intelligence GitHub repository at github.com/spacehendrix/universal-intelligence. The project has 62 stars and 7 forks, indicating an active community.

What license does universal-intelligence use?

universal-intelligence 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 universal-intelligence?

The top alternatives to universal-intelligence on Agent Skills Hub include universal-intelligence, ClawRecipes, 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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