Comparison
PentestGPT vs SWE-agent
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.
Markdown twin · PentestGPT alternatives · SWE-agent alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | PentestGPT | SWE-agent |
|---|---|---|
| Maintenance | Steady (33d since push) As of 3d · github_public_v1 | Very active (1d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3d · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- PentestGPT
- Automated Penetration Testing Agentic Framework Powered by Large Language Models
- SWE-agent
- Automatically fixes GitHub issues using a chosen language model
Stars
- PentestGPT
- 15k
- SWE-agent
- 20k
Forks
- PentestGPT
- 2.6k
- SWE-agent
- 2.2k
Open issues
- PentestGPT
- 65
- SWE-agent
- 82
Language
- PentestGPT
- Python
- SWE-agent
- Python
Adopt for
- PentestGPT
- PentestGPT specializes in automating parts of the penetration testing process through large language models, offering a unique approach to AI-assisted security assessments.
- SWE-agent
- Critical Facts for SWE-agent
Persona
- PentestGPT
- -
- SWE-agent
- -
Runtime
- PentestGPT
- -
- SWE-agent
- -
License
- PentestGPT
- MIT License, which allows for free use, modification, and distribution provided that attribution is maintained and any warranties or liabilities are disclaimed.
- SWE-agent
- MIT
Last pushed
- PentestGPT
- Jul 14, 2026
- SWE-agent
- Aug 17, 2026
Categories
- PentestGPT
- AI Agents, LLM Frameworks
- SWE-agent
- AI Agents, Developer Tools
Trust and health
Maintenance
- PentestGPT
- Steady (60%)
- SWE-agent
- Very active (96%)
Days since push
- PentestGPT
- 33d
- SWE-agent
- 1d
Open issues (now)
- PentestGPT
- 65
- SWE-agent
- 82
Stars delta
- PentestGPT
- +597 (30d)
- SWE-agent
- +227 (30d)
Open issues delta
- PentestGPT
- +3 (30d)
- SWE-agent
- +39 (30d)
Owner type
- PentestGPT
- User
- SWE-agent
- Organization
Full report
- PentestGPT
- Trust report
- SWE-agent
- Trust report
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.
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'.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (GreyDGL/PentestGPT) · observed Aug 17, 2026
- GitHub forks (GreyDGL/PentestGPT) · observed Aug 17, 2026
- Last push (GreyDGL/PentestGPT) · observed Jul 14, 2026
- License file (MIT) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (SWE-agent/SWE-agent) · observed Aug 19, 2026
- GitHub forks (SWE-agent/SWE-agent) · observed Aug 19, 2026
- Last push (SWE-agent/SWE-agent) · observed Aug 17, 2026
- License file (MIT) · observed Aug 19, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: PentestGPT 15k · SWE-agent 20k (synced Aug 17, 2026).
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 and SWE-agent alternatives (PentestGPT markdown twin, SWE-agent markdown twin), 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 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; SWE-agent trust report.