Comparison
PentestGPT vs AutoGPT
Verdict
Pick PentestGPT if pentestGPT is a Python-based automated penetration testing framework that uses large language models for security testing; pick AutoGPT if autoGPT is a platform for building and using autonomous AI agents, offering both self-hosting and managed service options.
Markdown twin · PentestGPT alternatives · AutoGPT alternatives
GraphCanon updated Sep 20, 2026
16views this month
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Trust & integrity
| Signal | PentestGPT | AutoGPT |
|---|---|---|
| Maintenance | Steady (65d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · 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
- Accessible AI for everyone, providing tools for focus on what matters
Stars
- PentestGPT
- 16k
- AutoGPT
- 187k
Forks
- PentestGPT
- 2.7k
- AutoGPT
- 46k
Open issues
- PentestGPT
- 81
- AutoGPT
- 593
Language
- PentestGPT
- Python
- AutoGPT
- Python
Adopt for
- PentestGPT
- PentestGPT is a Python-based automated penetration testing framework that uses large language models for security testing.
- AutoGPT
- AutoGPT is a platform for building and using autonomous AI agents, offering both self-hosting and managed service options.
Persona
- PentestGPT
- -
- AutoGPT
- -
Runtime
- PentestGPT
- -
- AutoGPT
- -
License
- PentestGPT
- MIT License, for educational and authorized security testing only, use at your own risk.
- AutoGPT
- AutoGPT's `autogpt_platform/` component is licensed under Polyform Shield, which is free for personal and internal business use but cannot be sold as a competing hosted service. The `classic/` and all
Last pushed
- PentestGPT
- Jul 14, 2026
- AutoGPT
- Sep 18, 2026
Categories
- PentestGPT
- AI Agents, LLM Frameworks
- AutoGPT
- AI Agents, Developer Tools
Trust and health
Maintenance
- PentestGPT
- Steady (60%)
- AutoGPT
- Very active (96%)
Days since push
- PentestGPT
- 65d
- AutoGPT
- 0d
Open issues (now)
- PentestGPT
- 81
- AutoGPT
- 593
Stars delta
- PentestGPT
- +614 (30d)
- AutoGPT
- +801 (30d)
Open issues delta
- PentestGPT
- +16 (30d)
- AutoGPT
- +76 (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.
- 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: automated-testing, docker, large-language-models, large-language-models-integration.
- Also covers LLM Frameworks.
- PentestGPT ships Docker support for self-hosted deployment.
- When you need an automated penetration testing tool that leverages large language models for enhanced security analysis.
When NOT to use PentestGPT
- If your project requires a tool that does not use large language models for penetration testing.
- When you need a tool that does not support Docker or does not offer persistent login sessions.
- For unauthorized security testing or any illegal activities, as the tool is strictly for educational and authorized 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.
- Also covers Developer Tools.
- When you need full control over your infrastructure and data, as self-hosting allows you to run AutoGPT on your own servers.
When NOT to use AutoGPT
- If you require immediate setup without the need for infrastructure management, as the managed service option is more suitable for quick deployment.
- When you are looking for a fully managed solution with built-in model access, as the managed platform handles updates and operations for you.
- If you are seeking a paid plan with plan-dependent support, as the self-hosted option relies on community support.
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 Sep 20, 2026
- GitHub forks (GreyDGL/PentestGPT) · observed Sep 20, 2026
- Last push (GreyDGL/PentestGPT) · observed Jul 14, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (Significant-Gravitas/AutoGPT) · observed Sep 20, 2026
- GitHub forks (Significant-Gravitas/AutoGPT) · observed Sep 20, 2026
- Last push (Significant-Gravitas/AutoGPT) · observed Sep 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: PentestGPT 16k · AutoGPT 187k (synced Sep 20, 2026).
Common questions
- What is the difference between PentestGPT and AutoGPT?
- PentestGPT: Automated Penetration Testing Agentic Framework Powered by Large Language Models. AutoGPT: Accessible AI for everyone, providing tools for focus on what matters. 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; 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: automated-testing, docker, large-language-models, large-language-models-integration; Also covers LLM Frameworks; PentestGPT ships Docker support for self-hosted deployment; When you need an automated penetration testing tool that leverages large language models for enhanced security analysis.
- 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; Also covers Developer Tools; When you need full control over your infrastructure and data, as self-hosting allows you to run AutoGPT on your own servers.
- When should I avoid PentestGPT?
- If your project requires a tool that does not use large language models for penetration testing. When you need a tool that does not support Docker or does not offer persistent login sessions. For unauthorized security testing or any illegal activities, as the tool is strictly for educational and authorized testing.
- When should I avoid AutoGPT?
- If you require immediate setup without the need for infrastructure management, as the managed service option is more suitable for quick deployment. When you are looking for a fully managed solution with built-in model access, as the managed platform handles updates and operations for you. If you are seeking a paid plan with plan-dependent support, as the self-hosted option relies on community support.
- Is PentestGPT or AutoGPT more popular on GitHub?
- AutoGPT has more GitHub stars (187,424 vs 15,514). 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.