--- title: "pentest-ai vs agents" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/0xsteph-pentest-ai-vs-wshobson-agents" tools: ["0xsteph-pentest-ai", "wshobson-agents"] --- # pentest-ai vs agents *GraphCanon updated Aug 19, 2026* ## Verdict Pick pentest-ai if pentest-ai is an offensive-security platform featuring over 200 security tools and agents for various security tasks including exploit chaining and osint, licensed under MIT; pick agents if the agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot. [pentest-ai](https://pentestai.xyz) reports 1.4k GitHub stars, 286 forks, and 2 open issues, last pushed Jul 5, 2026. [agents](https://sethhobson.com) has 39k stars, 4.1k forks, and 5 open issues, last pushed Aug 18, 2026. Figures are from public GitHub metadata via [pentest-ai's repository](https://github.com/0xSteph/pentest-ai) and [agents's repository](https://github.com/wshobson/agents). | | [pentest-ai](/tools/0xsteph-pentest-ai.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Tagline | Offensive-security MCP server with security tools and agents | Multi-harness agentic plugin marketplace for various AI agents | | Stars | 1,441 | 38,928 | | Forks | 286 | 4,145 | | Open issues | 2 | 5 | | Language | Python | Python | | Adopt for | Pentest-ai is an offensive-security platform featuring over 200 security tools and agents for various security tasks including exploit chaining and osint, licensed under MIT. | The agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [pentest-ai](/tools/0xsteph-pentest-ai.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 21d | 1d | | Open issues (now) | 2 | 5 | | Stars delta | Unknown | +860 (30d) | | Open issues delta | Unknown | +2 (30d) | | Full report | [trust report](/tools/0xsteph-pentest-ai/trust.md) | [trust report](/tools/wshobson-agents/trust.md) | ## Decision facts: pentest-ai - **Adopt for:** Pentest-ai is an offensive-security platform featuring over 200 security tools and agents for various security tasks including exploit chaining and osint, licensed under MIT. ## Decision facts: agents - **Adopt for:** The agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot ## Choose when ### Choose pentest-ai if… - Tags unique to pentest-ai: cybersecurity, mcp, pentesting, security. - pentest-ai ships Docker support for self-hosted deployment. - When you need a comprehensive suite that includes more than 205 security tools and 17 specialist agents. ### Choose agents if… - Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering. - You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments - More GitHub stars (39k vs 1.4k) - visibility, not fit. ## When NOT to use pentest-ai - If your requirements do not include offensive-security capabilities or exploit chaining. - When you want to avoid MIT-licensed open-source code and prefer proprietary solutions without sharing obligations. ## When NOT to use agents - You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support - Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem ## Common questions ### What is the difference between pentest-ai and agents? pentest-ai: Offensive-security MCP server with security tools and agents. agents: Multi-harness agentic plugin marketplace for various AI agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose pentest-ai over agents? Choose pentest-ai over agents when Tags unique to pentest-ai: cybersecurity, mcp, pentesting, security; pentest-ai ships Docker support for self-hosted deployment; When you need a comprehensive suite that includes more than 205 security tools and 17 specialist agents. ### When should I choose agents over pentest-ai? Choose agents over pentest-ai when Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering; You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments; More GitHub stars (39k vs 1.4k) - visibility, not fit. ### When should I avoid pentest-ai? If your requirements do not include offensive-security capabilities or exploit chaining. When you want to avoid MIT-licensed open-source code and prefer proprietary solutions without sharing obligations. ### When should I avoid agents? You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem ### Is pentest-ai or agents more popular on GitHub? agents has more GitHub stars (38,928 vs 1,441). Stars measure visibility, not whether either tool fits your constraints. ### Are pentest-ai and agents open source? Yes - both are open-source projects on GitHub (pentest-ai: MIT, agents: MIT). ### Where can I find alternatives to pentest-ai or agents? GraphCanon lists graph-backed alternatives at [pentest-ai alternatives](/tools/0xsteph-pentest-ai/alternatives) and [agents alternatives](/tools/wshobson-agents/alternatives) ([pentest-ai markdown twin](/tools/0xsteph-pentest-ai/alternatives.md), [agents markdown twin](/tools/wshobson-agents/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/0xsteph-pentest-ai-vs-wshobson-agents.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, pentest-ai or agents? pentest-ai: Active. agents: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for pentest-ai and agents? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [pentest-ai trust report](/tools/0xsteph-pentest-ai/trust); [agents trust report](/tools/wshobson-agents/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=0xsteph-pentest-ai`](/api/graphcanon/graph?tool=0xsteph-pentest-ai) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_