Comparison
PentestGPT vs AutoGPT
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 AutoGPT if autoGPT is a Python-based tool for creating accessible autonomous AI agents that can leverage various LLM APIs including OpenAI's GPT and Anthropic's Claude.
Markdown twin · PentestGPT alternatives · AutoGPT alternatives
GraphCanon updated 5d
vs
Trust & integrity
| Signal | PentestGPT | AutoGPT |
|---|---|---|
| Maintenance | Steady (33d since push) As of 5d · github_public_v1 | Very active (0d since push) As of 6d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 5d · github_public_v1 | Not a fork · Organization account As of 6d · 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
- AutoGPT
- AutoGPT is the vision of accessible AI for everyone, to use and to build on.
Stars
- PentestGPT
- 15k
- AutoGPT
- 187k
Forks
- PentestGPT
- 2.6k
- AutoGPT
- 46k
Open issues
- PentestGPT
- 65
- AutoGPT
- 517
Language
- PentestGPT
- Python
- AutoGPT
- 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.
- AutoGPT
- AutoGPT is a Python-based tool for creating accessible autonomous AI agents that can leverage various LLM APIs including OpenAI's GPT and Anthropic's Claude.
Persona
- PentestGPT
- -
- AutoGPT
- -
Runtime
- PentestGPT
- -
- AutoGPT
- -
License
- PentestGPT
- MIT License, which allows for free use, modification, and distribution provided that attribution is maintained and any warranties or liabilities are disclaimed.
- AutoGPT
- Other
Last pushed
- PentestGPT
- Jul 14, 2026
- AutoGPT
- Aug 15, 2026
Categories
- PentestGPT
- AI Agents, LLM Frameworks
- AutoGPT
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- PentestGPT
- Steady (60%)
- AutoGPT
- Very active (96%)
Days since push
- PentestGPT
- 33d
- AutoGPT
- 0d
Open issues (now)
- PentestGPT
- 65
- AutoGPT
- 517
Stars delta
- PentestGPT
- +597 (30d)
- AutoGPT
- +1.0k (30d)
Open issues delta
- PentestGPT
- +3 (30d)
- AutoGPT
- +19 (30d)
Owner type
- PentestGPT
- User
- AutoGPT
- Organization
Full report
- PentestGPT
- Trust report
- AutoGPT
- Trust report
Typed relationship
PentestGPT alternative AutoGPTPentestGPT and AutoGPT are both AI-driven automation frameworks, but while AutoGPT focuses on general build, deploy, and run capabilities for agents, PentestGPT is tailored specifically towards penetration testing.
Choose PentestGPT if…
- License: PentestGPT is MIT, AutoGPT is Other.
- Requirements: - Python environment; - Access to large language models as stipulated by PentestGPT's operational requirements.
- PentestGPT and AutoGPT are both AI-driven automation frameworks, but while AutoGPT focuses on general build, deploy, and run capabilities for agents, PentestGPT is tailored specifically towards penetration testing.
- Tags unique to PentestGPT: large language models, penetration-testing, python.
- 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 AutoGPT if…
- License: AutoGPT is Other, PentestGPT is MIT.
- PentestGPT and AutoGPT are both AI-driven automation frameworks, but while AutoGPT focuses on general build, deploy, and run capabilities for agents, PentestGPT is tailored specifically towards penetration testing.
- Tags unique to AutoGPT: agentic-ai, agents, ai, artificial-intelligence.
- When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
When NOT to use AutoGPT
- Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework.
- If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools.
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 (Significant-Gravitas/AutoGPT) · observed Aug 16, 2026
- GitHub forks (Significant-Gravitas/AutoGPT) · observed Aug 16, 2026
- Last push (Significant-Gravitas/AutoGPT) · observed Aug 15, 2026
- License file (Other) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: PentestGPT 15k · AutoGPT 187k (synced Aug 17, 2026).
Common questions
- What is the difference between PentestGPT and AutoGPT?
- PentestGPT: Automated Penetration Testing Agentic Framework Powered by Large Language Models. AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. See the comparison table for live GitHub stats and shared categories.
- When should I choose PentestGPT over AutoGPT?
- Choose PentestGPT over AutoGPT when License: PentestGPT is MIT, AutoGPT is Other; Requirements: - Python environment; - Access to large language models as stipulated by PentestGPT's operational requirements; PentestGPT and AutoGPT are both AI-driven automation frameworks, but while AutoGPT focuses on general build, deploy, and run capabilities for agents, PentestGPT is tailored specifically towards penetration testing; Tags unique to PentestGPT: large language models, penetration-testing, python; 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 AutoGPT over PentestGPT?
- Choose AutoGPT over PentestGPT when License: AutoGPT is Other, PentestGPT is MIT; PentestGPT and AutoGPT are both AI-driven automation frameworks, but while AutoGPT focuses on general build, deploy, and run capabilities for agents, PentestGPT is tailored specifically towards penetration testing; Tags unique to AutoGPT: agentic-ai, agents, ai, artificial-intelligence; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
- 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 AutoGPT?
- Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework. If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools.
- Is PentestGPT or AutoGPT more popular on GitHub?
- AutoGPT has more GitHub stars (186,623 vs 14,900). Stars measure visibility, not whether either tool fits your constraints.
- Are PentestGPT and AutoGPT open source?
- Yes - both are open-source projects on GitHub (PentestGPT: MIT, AutoGPT: Other).
- Where can I find alternatives to PentestGPT or AutoGPT?
- GraphCanon lists graph-backed alternatives at PentestGPT alternatives and AutoGPT alternatives (PentestGPT markdown twin, AutoGPT 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 AutoGPT?
- PentestGPT: Steady. AutoGPT: 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 AutoGPT?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: PentestGPT trust report; AutoGPT trust report.