--- title: "PentestGPT vs SWE-agent" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/greydgl-pentestgpt-vs-swe-agent-swe-agent" tools: ["greydgl-pentestgpt", "swe-agent-swe-agent"] --- # PentestGPT vs SWE-agent *GraphCanon updated Aug 19, 2026* ## Verdict Pick PentestGPT if pentestGPT specializes in automating parts of the penetration testing process through large language models, offering a unique approach to AI-assisted security assessments; pick SWE-agent if critical Facts for SWE-agent. [PentestGPT](https://github.com/GreyDGL/PentestGPT) reports 15k GitHub stars, 2.6k forks, and 65 open issues, last pushed Jul 14, 2026. [SWE-agent](https://swe-agent.com) has 20k stars, 2.2k forks, and 82 open issues, last pushed Aug 17, 2026. Figures are from public GitHub metadata via [PentestGPT's repository](https://github.com/GreyDGL/PentestGPT) and [SWE-agent's repository](https://github.com/SWE-agent/SWE-agent). | | [PentestGPT](/tools/greydgl-pentestgpt.md) | [SWE-agent](/tools/swe-agent-swe-agent.md) | | --- | --- | --- | | Tagline | Automated Penetration Testing Agentic Framework Powered by Large Language Models | Automatically fixes GitHub issues using a chosen language model | | Stars | 14,900 | 20,079 | | Forks | 2,604 | 2,201 | | Open issues | 65 | 82 | | Language | Python | Python | | Adopt for | PentestGPT specializes in automating parts of the penetration testing process through large language models, offering a unique approach to AI-assisted security assessments. | Critical Facts for SWE-agent | | Persona | - | - | | Runtime | - | - | | License | MIT License, which allows for free use, modification, and distribution provided that attribution is maintained and any warranties or liabilities are disclaimed. | MIT | | Categories | AI Agents, LLM Frameworks | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [PentestGPT](/tools/greydgl-pentestgpt.md) | [SWE-agent](/tools/swe-agent-swe-agent.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 33d | 1d | | Open issues (now) | 65 | 82 | | Stars delta | +597 (30d) | +227 (30d) | | Open issues delta | +3 (30d) | +39 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/greydgl-pentestgpt/trust.md) | [trust report](/tools/swe-agent-swe-agent/trust.md) | ## Decision facts: PentestGPT - **Requirements:** - Python environment; - Access to large language models as stipulated by PentestGPT's operational requirements - **Adopt for:** PentestGPT specializes in automating parts of the penetration testing process through large language models, offering a unique approach to AI-assisted security assessments. - **License detail:** MIT License, which allows for free use, modification, and distribution provided that attribution is maintained and any warranties or liabilities are disclaimed. ## Decision facts: SWE-agent - **Adopt for:** Critical Facts for SWE-agent ## Choose when ### Choose PentestGPT if… - Requirements: - Python environment; - Access to large language models as stipulated by PentestGPT's operational requirements. - Tags unique to PentestGPT: large language models, penetration-testing, python. - Also covers LLM Frameworks. - PentestGPT ships Docker support for self-hosted deployment. - - When you need an automated framework for certain tasks within penetration testing that can be handled by large language models. ### Choose SWE-agent if… - Tags unique to SWE-agent: agent, agent-based-model, ai, cybersecurity. - Also covers Developer Tools. - You need to automatically fix GitHub issues using a selected language model and want the flexibility of defining which model powers the agent's responses. ## When NOT to use PentestGPT - - Avoid using PentestGPT if manual, nuanced analysis is required, as its reliance on LLM might not cover all complexities of a security assessment. - - If your organization does not have the legal authority to conduct penetration testing on specific targets, as indicated by its disclaimer for 'educational purposes and authorized security testing'. ## When NOT to use SWE-agent - If you prefer using a single fixed model for all issues without the option to select different language models based on the task's requirements. - For projects that require deep domain-specific knowledge beyond general coding tasks or where human judgment plays an essential role. - In scenarios where security standards are extremely stringent and automated systems, especially those that leverage external data for training like LLMs, may not meet compliance requirements. ## Common questions ### What is the difference between PentestGPT and SWE-agent? PentestGPT: Automated Penetration Testing Agentic Framework Powered by Large Language Models. SWE-agent: Automatically fixes GitHub issues using a chosen language model. See the comparison table for live GitHub stats and shared categories. ### When should I choose PentestGPT over SWE-agent? Choose PentestGPT over SWE-agent when Requirements: - Python environment; - Access to large language models as stipulated by PentestGPT's operational requirements; Tags unique to PentestGPT: large language models, penetration-testing, python; Also covers LLM Frameworks; PentestGPT ships Docker support for self-hosted deployment; - When you need an automated framework for certain tasks within penetration testing that can be handled by large language models. ### When should I choose SWE-agent over PentestGPT? Choose SWE-agent over PentestGPT when Tags unique to SWE-agent: agent, agent-based-model, ai, cybersecurity; Also covers Developer Tools; You need to automatically fix GitHub issues using a selected language model and want the flexibility of defining which model powers the agent's responses. ### When should I avoid PentestGPT? - Avoid using PentestGPT if manual, nuanced analysis is required, as its reliance on LLM might not cover all complexities of a security assessment. - If your organization does not have the legal authority to conduct penetration testing on specific targets, as indicated by its disclaimer for 'educational purposes and authorized security testing'. ### When should I avoid SWE-agent? If you prefer using a single fixed model for all issues without the option to select different language models based on the task's requirements. For projects that require deep domain-specific knowledge beyond general coding tasks or where human judgment plays an essential role. In scenarios where security standards are extremely stringent and automated systems, especially those that leverage external data for training like LLMs, may not meet compliance requirements. ### Is PentestGPT or SWE-agent more popular on GitHub? SWE-agent has more GitHub stars (20,079 vs 14,900). Stars measure visibility, not whether either tool fits your constraints. ### Are PentestGPT and SWE-agent open source? Yes - both are open-source projects on GitHub (PentestGPT: MIT, SWE-agent: MIT). ### Where can I find alternatives to PentestGPT or SWE-agent? GraphCanon lists graph-backed alternatives at [PentestGPT alternatives](/tools/greydgl-pentestgpt/alternatives) and [SWE-agent alternatives](/tools/swe-agent-swe-agent/alternatives) ([PentestGPT markdown twin](/tools/greydgl-pentestgpt/alternatives.md), [SWE-agent markdown twin](/tools/swe-agent-swe-agent/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/greydgl-pentestgpt-vs-swe-agent-swe-agent.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, PentestGPT or SWE-agent? PentestGPT: Steady. SWE-agent: 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 SWE-agent? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [PentestGPT trust report](/tools/greydgl-pentestgpt/trust); [SWE-agent trust report](/tools/swe-agent-swe-agent/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/_