--- title: "PentestGPT vs pentagi" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/greydgl-pentestgpt-vs-vxcontrol-pentagi" tools: ["greydgl-pentestgpt", "vxcontrol-pentagi"] --- # PentestGPT vs pentagi Neutral, constraint-first comparison with live GitHub stats. | | [PentestGPT](/tools/greydgl-pentestgpt.md) | [pentagi](/tools/vxcontrol-pentagi.md) | | --- | --- | --- | | Tagline | Automated Penetration Testing Agentic Framework Powered by Large Language Models | Fully autonomous AI Agents system capable of performing complex penetration testing tasks | | Stars | 14,160 | 18,442 | | Forks | 2,457 | 2,524 | | Open issues | 68 | 64 | | Language | Python | Go | | Adopt for | PentestGPT is an advanced penetration testing framework powered by large language models (LLMs), designed to automate security assessments and maintain context across iterations. | PentAGI is a fully autonomous AI Agents system designed for complex penetration testing tasks, leveraging artificial intelligence technologies for enhanced security analysis. It is written in Go and offers integration of | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | LLM Frameworks, AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [PentestGPT](/tools/greydgl-pentestgpt.md) | [pentagi](/tools/vxcontrol-pentagi.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 31d | 4d | | Open issues (now) | 68 | 64 | | Owner type | User | Organization | | Full report | [trust report](/tools/greydgl-pentestgpt/trust.md) | [trust report](/tools/vxcontrol-pentagi/trust.md) | **Typed relationship:** PentestGPT _(alternative)_ pentagi PentestGPT and Pentagi both aim to automate penetration testing using AI, making them alternatives in the automated cybersecurity tool ecosystem. ## Decision facts: PentestGPT - **Pricing:** freemium - PentestGPT is available under the MIT license, which permits use, modification, and distribution of the software for free. However, costs may arise from API fees or licensing third-party tools used in - **Requirements:** Min 4 GB RAM; - Requires Python version 3.12+ and the package manager `uv`.; - Must have a running instance of Claude Code CLI.; - Supports multiple large language models for enhanced functionality. - **Adopt for:** PentestGPT is an advanced penetration testing framework powered by large language models (LLMs), designed to automate security assessments and maintain context across iterations. ## Decision facts: pentagi - **Adopt for:** PentAGI is a fully autonomous AI Agents system designed for complex penetration testing tasks, leveraging artificial intelligence technologies for enhanced security analysis. It is written in Go and offers integration of ## Choose when ### Choose PentestGPT if… - PentestGPT is primarily Python; pentagi is Go. - Pricing: PentestGPT is available under the MIT license, which permits use, modification, and distribution of the software for free. However, costs may arise from API fees or licensing third-party tools used in. - Requirements: Min 4 GB RAM; - Requires Python version 3.12+ and the package manager `uv`.; - Must have a running instance of Claude Code CLI.; - Supports multiple large language models for enhanced functionality.. - PentestGPT and Pentagi both aim to automate penetration testing using AI, making them alternatives in the automated cybersecurity tool ecosystem. - Tags unique to PentestGPT: llm, python, large-language-models. - Also covers LLM Frameworks. - - For conducting comprehensive security audits where human-led reviews are time-consuming or impractical. ### Choose pentagi if… - pentagi is primarily Go; PentestGPT is Python. - PentestGPT and Pentagi both aim to automate penetration testing using AI, making them alternatives in the automated cybersecurity tool ecosystem. - Tags unique to pentagi: go, security-automation, open-source, ai-agents. - - When you need an advanced, autonomous solution for conducting detailed and comprehensive penetration tests that leverage AI-based decision-making. ## When NOT to use PentestGPT - - When the specific security issues require specialized manual expertise or detailed forensic analysis that an LLM can't replicate accurately. - - For small-scale, low-risk assessments where traditional penetration testing tools would suffice without needing advanced AI support. - - In environments with strict regulatory compliance that might be incompatible with open-source solutions like PentestGPT. ## When NOT to use pentagi - - PentAGI might not be suitable for users who do not require advanced AI-driven autonomous task execution capabilities in penetration testing. - - It may not be the best choice if your primary focus is on traditional, manual testing methods that don't benefit from or require automation and intelligent task planning. ## Common questions ### What is the difference between PentestGPT and pentagi? PentestGPT: Automated Penetration Testing Agentic Framework Powered by Large Language Models. pentagi: Fully autonomous AI Agents system capable of performing complex penetration testing tasks. See the comparison table for live GitHub stats and shared categories. ### When should I choose PentestGPT over pentagi? Choose PentestGPT over pentagi when PentestGPT is primarily Python; pentagi is Go; Pricing: PentestGPT is available under the MIT license, which permits use, modification, and distribution of the software for free. However, costs may arise from API fees or licensing third-party tools used in; Requirements: Min 4 GB RAM; - Requires Python version 3.12+ and the package manager `uv`.; - Must have a running instance of Claude Code CLI.; - Supports multiple large language models for enhanced functionality.; PentestGPT and Pentagi both aim to automate penetration testing using AI, making them alternatives in the automated cybersecurity tool ecosystem; Tags unique to PentestGPT: llm, python, large-language-models; Also covers LLM Frameworks; - For conducting comprehensive security audits where human-led reviews are time-consuming or impractical. ### When should I choose pentagi over PentestGPT? Choose pentagi over PentestGPT when pentagi is primarily Go; PentestGPT is Python; PentestGPT and Pentagi both aim to automate penetration testing using AI, making them alternatives in the automated cybersecurity tool ecosystem; Tags unique to pentagi: go, security-automation, open-source, ai-agents; - When you need an advanced, autonomous solution for conducting detailed and comprehensive penetration tests that leverage AI-based decision-making. ### When should I avoid PentestGPT? - When the specific security issues require specialized manual expertise or detailed forensic analysis that an LLM can't replicate accurately. - For small-scale, low-risk assessments where traditional penetration testing tools would suffice without needing advanced AI support. - In environments with strict regulatory compliance that might be incompatible with open-source solutions like PentestGPT. ### When should I avoid pentagi? - PentAGI might not be suitable for users who do not require advanced AI-driven autonomous task execution capabilities in penetration testing. - It may not be the best choice if your primary focus is on traditional, manual testing methods that don't benefit from or require automation and intelligent task planning. ### Is PentestGPT or pentagi more popular on GitHub? pentagi has more GitHub stars (18,442 vs 14,160). Stars measure visibility, not whether either tool fits your constraints. ### Are PentestGPT and pentagi open source? Yes - both are open-source projects on GitHub (PentestGPT: MIT, pentagi: MIT). ### Where can I find alternatives to PentestGPT or pentagi? GraphCanon lists graph-backed alternatives at /tools/greydgl-pentestgpt/alternatives and /tools/vxcontrol-pentagi/alternatives (/tools/greydgl-pentestgpt/alternatives.md, /tools/vxcontrol-pentagi/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 /compare/greydgl-pentestgpt-vs-vxcontrol-pentagi.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, PentestGPT or pentagi? PentestGPT: Steady. pentagi: 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 PentestGPT and pentagi? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: PentestGPT: /tools/greydgl-pentestgpt/trust; pentagi: /tools/vxcontrol-pentagi/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=greydgl-pentestgpt`](/api/graphcanon/graph?tool=greydgl-pentestgpt) - 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/_