agentopology — security grade CAUTION, quality 71/100

Security audit verdict: CAUTION · quality 71/100

Flagged: reads agent config files. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by agentopology · MCP Server · ★ 101

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

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About agentopology

AgenTopology The Terraform for AI agents. Define your agent team once. Deploy to any platform. Claude Code · Claude Workflow · OpenClaw · Codex · Cursor · Gemini CLI · Copilot · Kiro Ships with a Claude Code skill — just type /agentopology and describe your team. The Problem Building one AI agent is easy. Building a team of agents that actually works together is brutal. You want a marketing team? A dev pipeline? A support squad? You spend hours wiring up AGENT.md files, soul.md configs, MCP servers, hooks, and scripts. You get it working in Claude Code. Then you need the same team in OpenClaw — and you start from scratch. Different config format. Different directory structure. Different conventions. Same agents, same logic, zero portability. OpenClaw alone needs soul.md, skill files, channel c

ai-agentsclaude-codecursordeclarativedeveloper-toolsknowledge-graphmcpmulti-agentobsidianopen-source

Quick Facts

Stars101
Forks14
LanguageTypeScript
CategoryMCP Server
LicenseApache-2.0
Quality Score70.9196503043441/100
Open Issues5
Last Updated2026-08-26
Created2026-03-11
Platformsclaude-code, codex, gemini, mcp, node
Est. Tokens~18k

Compatible Skills

These tools work well together with agentopology for enhanced workflows:

  • verify — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)
  • ok-skills — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (57%)
  • torque — semantic(0.17)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)
  • clawhost — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (55%)
  • OpenOffice — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (55%)

agentopology alternative? Top 6 similar tools

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

  • sub-agents-mcp by shinpr · ⭐ 98

    Define task-specific AI sub-agents in Markdown for any MCP-compatible tool.

  • octocode by Muvon · ⭐ 471

    Structural code intelligence for AI agents — semantic search, knowledge graphs, and a built-in MCP server in o

  • agent-skills by jdrhyne · ⭐ 241

    A collection of AI agent skills for Clawdbot, Claude Code, Codex

  • mcp-fusion by vinkius-labs · ⭐ 204

    MCP Fusion - The framework for AI-native MCP servers.

  • claude-code-open by kill136 · ⭐ 158

    Open source AI coding platform with Web IDE, multi-agent system, 37+ tools, MCP protocol. MIT licensed.

  • OmoiOS by kivo360 · ⭐ 71

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

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Frequently Asked Questions

What is agentopology?

agentopology is Harness as code — the Terraform for AI agents. Define your agent team AND its memory once, deploy to Claude Code, OpenClaw, Cursor, Codex, Gemini, Copilot, Kiro. Declarative .at language + agent-maint. It is categorized as a MCP Server with 101 GitHub stars.

What programming language is agentopology written in?

agentopology is primarily written in TypeScript. It covers topics such as ai-agents, claude-code, cursor.

How do I install or use agentopology?

You can find installation instructions and usage details in the agentopology GitHub repository at github.com/agentopology/agentopology. The project has 101 stars and 14 forks, indicating an active community.

What license does agentopology use?

agentopology 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 agentopology?

The top alternatives to agentopology on Agent Skills Hub include sub-agents-mcp, octocode, agent-skills. 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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