--- title: "pentest-ai vs composio" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/0xsteph-pentest-ai-vs-composiohq-composio" tools: ["0xsteph-pentest-ai", "composiohq-composio"] --- # pentest-ai vs composio *GraphCanon updated Sep 30, 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 composio if composio is a toolkit for developing AI agents with pre-authenticated toolkits, context management, and a sandboxed workbench, supporting TypeScript and Python. [pentest-ai](https://pentestai.xyz) reports 1.7k GitHub stars, 314 forks, and 2 open issues, last pushed Sep 13, 2026. [composio](https://docs.composio.dev) has 30k stars, 4.8k forks, and 86 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [pentest-ai's repository](https://github.com/0xSteph/pentest-ai) and [composio's repository](https://github.com/ComposioHQ/composio). | | [pentest-ai](/tools/0xsteph-pentest-ai.md) | [composio](/tools/composiohq-composio.md) | | --- | --- | --- | | Tagline | Offensive-security MCP server with security tools and agents | Build AI agents that turn intent into action with pre-authenticated toolkits and a sandboxed workbench. | | Stars | 1,685 | 30,228 | | Forks | 314 | 4,803 | | Open issues | 2 | 86 | | Language | Python | TypeScript | | 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. | Composio is a toolkit for developing AI agents with pre-authenticated toolkits, context management, and a sandboxed workbench, supporting TypeScript and Python. | | 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) | [composio](/tools/composiohq-composio.md) | | --- | --- | --- | | Days since push | 6d | 0d | | Open issues (now) | 2 | 86 | | Stars delta | +244 (30d) | +513 (30d) | | Open issues delta | 0 (30d) | +21 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/0xsteph-pentest-ai/trust.md) | [trust report](/tools/composiohq-composio/trust.md) | ## Shared compatibility - **Python**: [pentest-ai](/tools/0xsteph-pentest-ai.md) - Python runtime; [composio](/tools/composiohq-composio.md) - Python runtime ## 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: composio - **Adopt for:** Composio is a toolkit for developing AI agents with pre-authenticated toolkits, context management, and a sandboxed workbench, supporting TypeScript and Python. ## Choose when ### Choose pentest-ai if… - pentest-ai is primarily Python; composio is TypeScript. - Tags unique to pentest-ai: cybersecurity, 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 composio if… - composio is primarily TypeScript; pentest-ai is Python. - Tags unique to composio: agentic-ai, ai-agents, function-calling, llmops. - When you need a toolkit that supports TypeScript and Python for developing AI agents. ## 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 composio - If you are working exclusively with languages other than TypeScript or Python. - If you do not require pre-authenticated toolkits and prefer manual setup. - If you need a more specialized workbench that is not sandboxed. - If you are looking for a solution that does not integrate with specific providers like OpenAI Agents or Claude Agent SDK. ## Common questions ### What is the difference between pentest-ai and composio? pentest-ai: Offensive-security MCP server with security tools and agents. composio: Build AI agents that turn intent into action with pre-authenticated toolkits and a sandboxed workbench.. See the comparison table for live GitHub stats and shared categories. ### When should I choose pentest-ai over composio? Choose pentest-ai over composio when pentest-ai is primarily Python; composio is TypeScript; Tags unique to pentest-ai: cybersecurity, 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 composio over pentest-ai? Choose composio over pentest-ai when composio is primarily TypeScript; pentest-ai is Python; Tags unique to composio: agentic-ai, ai-agents, function-calling, llmops; When you need a toolkit that supports TypeScript and Python for developing AI agents. ### 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 composio? If you are working exclusively with languages other than TypeScript or Python. If you do not require pre-authenticated toolkits and prefer manual setup. If you need a more specialized workbench that is not sandboxed. If you are looking for a solution that does not integrate with specific providers like OpenAI Agents or Claude Agent SDK. ### Is pentest-ai or composio more popular on GitHub? composio has more GitHub stars (30,228 vs 1,685). Stars measure visibility, not whether either tool fits your constraints. ### Are pentest-ai and composio open source? Yes - both are open-source projects on GitHub (pentest-ai: MIT, composio: MIT). ### Where can I find alternatives to pentest-ai or composio? GraphCanon lists graph-backed alternatives at [pentest-ai alternatives](/tools/0xsteph-pentest-ai/alternatives) and [composio alternatives](/tools/composiohq-composio/alternatives) ([pentest-ai markdown twin](/tools/0xsteph-pentest-ai/alternatives.md), [composio markdown twin](/tools/composiohq-composio/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-composiohq-composio.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, pentest-ai or composio? pentest-ai: Very active. composio: 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 composio? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [pentest-ai trust report](/tools/0xsteph-pentest-ai/trust); [composio trust report](/tools/composiohq-composio/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/_