--- title: "pentest-ai vs agent-toolkit" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/0xsteph-pentest-ai-vs-softaworks-agent-toolkit" tools: ["0xsteph-pentest-ai", "softaworks-agent-toolkit"] --- # pentest-ai vs agent-toolkit *GraphCanon updated Aug 12, 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 agent-toolkit if extends AI coding agent capabilities with Python skills for development and professional workflows. [pentest-ai](https://pentestai.xyz) reports 1.4k GitHub stars, 286 forks, and 2 open issues, last pushed Jul 5, 2026. [agent-toolkit](https://github.com/softaworks/agent-toolkit) has 2.3k stars, 217 forks, and 17 open issues, last pushed Mar 5, 2026. Figures are from public GitHub metadata via [pentest-ai's repository](https://github.com/0xSteph/pentest-ai) and [agent-toolkit's repository](https://github.com/softaworks/agent-toolkit). | | [pentest-ai](/tools/0xsteph-pentest-ai.md) | [agent-toolkit](/tools/softaworks-agent-toolkit.md) | | --- | --- | --- | | Tagline | Offensive-security MCP server with security tools and agents | A curated collection of skills for AI coding agents | | Stars | 1,441 | 2,307 | | Forks | 286 | 217 | | Open issues | 2 | 17 | | 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. | Extends AI coding agent capabilities with Python skills for development and professional workflows | | 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) | [agent-toolkit](/tools/softaworks-agent-toolkit.md) | | --- | --- | --- | | Maintenance | Active (82%) | Slowing (36%) | | Days since push | 21d | 159d | | Open issues (now) | 2 | 17 | | Owner type | User | Organization | | Full report | [trust report](/tools/0xsteph-pentest-ai/trust.md) | [trust report](/tools/softaworks-agent-toolkit/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: agent-toolkit - **Adopt for:** Extends AI coding agent capabilities with Python skills for development and professional workflows ## 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 agent-toolkit if… - Tags unique to agent-toolkit: agent-skills, ai, automation, claude. - For enhancing specific tasks like documentation, planning, and workflow management - More GitHub stars (2.3k 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 agent-toolkit - If you seek support for languages other than Python - When working with non-Python based coding agents that require specialized skills not covered by this toolkit - In cases where custom, from-scratch development is preferred over using pre-packaged scripts ## Common questions ### What is the difference between pentest-ai and agent-toolkit? pentest-ai: Offensive-security MCP server with security tools and agents. agent-toolkit: A curated collection of skills for AI coding agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose pentest-ai over agent-toolkit? Choose pentest-ai over agent-toolkit 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 agent-toolkit over pentest-ai? Choose agent-toolkit over pentest-ai when Tags unique to agent-toolkit: agent-skills, ai, automation, claude; For enhancing specific tasks like documentation, planning, and workflow management; More GitHub stars (2.3k 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 agent-toolkit? If you seek support for languages other than Python When working with non-Python based coding agents that require specialized skills not covered by this toolkit In cases where custom, from-scratch development is preferred over using pre-packaged scripts ### Is pentest-ai or agent-toolkit more popular on GitHub? agent-toolkit has more GitHub stars (2,307 vs 1,441). Stars measure visibility, not whether either tool fits your constraints. ### Are pentest-ai and agent-toolkit open source? Yes - both are open-source projects on GitHub (pentest-ai: MIT, agent-toolkit: MIT). ### Where can I find alternatives to pentest-ai or agent-toolkit? GraphCanon lists graph-backed alternatives at [pentest-ai alternatives](/tools/0xsteph-pentest-ai/alternatives) and [agent-toolkit alternatives](/tools/softaworks-agent-toolkit/alternatives) ([pentest-ai markdown twin](/tools/0xsteph-pentest-ai/alternatives.md), [agent-toolkit markdown twin](/tools/softaworks-agent-toolkit/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-softaworks-agent-toolkit.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, pentest-ai or agent-toolkit? pentest-ai: Active. agent-toolkit: Slowing. 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 agent-toolkit? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [pentest-ai trust report](/tools/0xsteph-pentest-ai/trust); [agent-toolkit trust report](/tools/softaworks-agent-toolkit/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/_