ouroboros — security grade SAFE, quality 64/100

Security audit verdict: SAFE · quality 64/100

Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by razzant · MCP Server · ★ 1.3k

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

🔒 Is ouroboros safe to install? View the security audit →

About ouroboros

Ouroboros Ouroboros is an open-source, general-purpose AI agent whose identity, durable memory, and history continue across tasks and restarts. It works on external projects, coordinates a live swarm of specialist agents, and can rewrite the implementation it runs on, including its code, architecture, prompts,

agentic-aiai-agentai-agentsautonomous-agentbackground-consciousnesscoding-agentcomputer-usedesktop-agentdeveloper-toolsdigital-being

Quick Facts

Stars1,313
Forks627
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score64.05069299293/100
Open Issues176
Last Updated2026-09-14
Created2026-02-11
Platformsmcp, python
Est. Tokens~23k

Compatible Skills

These tools work well together with ouroboros for enhanced workflows:

  • AIlice — semantic(0.36)+complementary+same_lang+similar_pop+shared_platform (62%)
  • rosclaw — semantic(0.19)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
  • OpenAgentd — semantic(0.32)+complementary+same_lang+similar_pop+shared_platform (61%)
  • CORAL — semantic(0.31)+complementary+same_lang+similar_pop+shared_platform (61%)
  • LiteMultiAgent — semantic(0.31)+complementary+same_lang+similar_pop+shared_platform (61%)

ouroboros alternative? Top 6 similar tools

Looking for a ouroboros alternative? If you're comparing ouroboros 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.

  • awesome-openclaw by Anil-matcha · ⭐ 997

    A curated list of OpenClaw resources, tools, skills, tutorials & articles. OpenClaw (formerly Moltbot / Clawdb

  • awesome-openclaw by SamurAIGPT · ⭐ 957

    A curated list of OpenClaw resources, tools, skills, tutorials & articles. OpenClaw (formerly Moltbot / Clawdb

  • ouroboros by Q00 · ⭐ 5.8k

    Agent OS: the agent gets smarter on its own. We just hold the line: Interview-gated, staged evaluation, budget

  • SWE-AF by Agent-Field · ⭐ 993

    Autonomous software engineering fleet of AI agents for production-grade PRs on AgentField: plan, code, test, a

  • MakeMoneyWithAI by garylab · ⭐ 926

    A list of open-source AI projects you can use to generate income easily.

  • sandboxed.sh by Th0rgal · ⭐ 508

    Safe runtime for autonomous on-chain AI agents: isolated sandboxes, Library skills, encrypted secrets.

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Frequently Asked Questions

What is ouroboros?

ouroboros is Ouroboros — self-creating AI agent. Born Feb 16, 2026.. It is categorized as a MCP Server with 1.3k GitHub stars.

What programming language is ouroboros written in?

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

How do I install or use ouroboros?

You can find installation instructions and usage details in the ouroboros GitHub repository at github.com/razzant/ouroboros. The project has 1.3k stars and 627 forks, indicating an active community.

What license does ouroboros use?

ouroboros is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to ouroboros?

The top alternatives to ouroboros on Agent Skills Hub include awesome-openclaw, awesome-openclaw, ouroboros. 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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