Comparison
PentestGPT vs agent-framework
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 agent-framework if the agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments.
Markdown twin · PentestGPT alternatives · agent-framework alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | PentestGPT | agent-framework |
|---|---|---|
| Maintenance | Steady (33d since push) As of 1d · github_public_v1 | Very active (0d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1d · github_public_v1 | Not a fork · Organization account As of 1w · 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
- agent-framework
- Framework for building and deploying AI agents and multi-agent workflows
Stars
- PentestGPT
- 15k
- agent-framework
- 13k
Forks
- PentestGPT
- 2.6k
- agent-framework
- 2.1k
Open issues
- PentestGPT
- 65
- agent-framework
- 685
Language
- PentestGPT
- Python
- agent-framework
- 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.
- agent-framework
- The agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments.
Persona
- PentestGPT
- -
- agent-framework
- -
Runtime
- PentestGPT
- -
- agent-framework
- -
License
- PentestGPT
- MIT License, which allows for free use, modification, and distribution provided that attribution is maintained and any warranties or liabilities are disclaimed.
- agent-framework
- MIT
Last pushed
- PentestGPT
- Jul 14, 2026
- agent-framework
- Aug 10, 2026
Categories
- PentestGPT
- AI Agents, LLM Frameworks
- agent-framework
- AI Agents, Developer Tools
Trust and health
Maintenance
- PentestGPT
- Steady (60%)
- agent-framework
- Very active (96%)
Days since push
- PentestGPT
- 33d
- agent-framework
- 0d
Open issues (now)
- PentestGPT
- 65
- agent-framework
- 685
Stars delta
- PentestGPT
- +597 (30d)
- agent-framework
- Unknown
Open issues delta
- PentestGPT
- +3 (30d)
- agent-framework
- Unknown
Owner type
- PentestGPT
- User
- agent-framework
- Organization
Full report
- PentestGPT
- Trust report
- agent-framework
- 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, llm, 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 agent-framework if…
- Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages..
- Tags unique to agent-framework: agent-framework, agentic-ai, agents, multi-agent.
- Also covers Developer Tools.
- Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems.
When NOT to use agent-framework
- Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively.
- Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework.
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 (microsoft/agent-framework) · observed Aug 11, 2026
- GitHub forks (microsoft/agent-framework) · observed Aug 11, 2026
- Last push (microsoft/agent-framework) · observed Aug 10, 2026
- License file (MIT) · observed Aug 11, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: PentestGPT 15k · agent-framework 13k (synced Aug 17, 2026).
Common questions
- What is the difference between PentestGPT and agent-framework?
- PentestGPT: Automated Penetration Testing Agentic Framework Powered by Large Language Models. agent-framework: Framework for building and deploying AI agents and multi-agent workflows. See the comparison table for live GitHub stats and shared categories.
- When should I choose PentestGPT over agent-framework?
- Choose PentestGPT over agent-framework when Requirements: - Python environment; - Access to large language models as stipulated by PentestGPT's operational requirements; Tags unique to PentestGPT: large language models, llm, 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 agent-framework over PentestGPT?
- Choose agent-framework over PentestGPT when Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages.; Tags unique to agent-framework: agent-framework, agentic-ai, agents, multi-agent; Also covers Developer Tools; Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems.
- 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 agent-framework?
- Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively. Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework.
- Is PentestGPT or agent-framework more popular on GitHub?
- PentestGPT has more GitHub stars (14,900 vs 12,718). Stars measure visibility, not whether either tool fits your constraints.
- Are PentestGPT and agent-framework open source?
- Yes - both are open-source projects on GitHub (PentestGPT: MIT, agent-framework: MIT).
- Where can I find alternatives to PentestGPT or agent-framework?
- GraphCanon lists graph-backed alternatives at PentestGPT alternatives and agent-framework alternatives (PentestGPT markdown twin, agent-framework 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 agent-framework?
- PentestGPT: Steady. agent-framework: 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 agent-framework?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: PentestGPT trust report; agent-framework trust report.