PentestGPT vs pentagi

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.