Comparison
PentestGPT vs agent-framework
Verdict
Pick PentestGPT if pentestGPT is a Python-based automated penetration testing framework that uses large language models for security testing; 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 Sep 20, 2026
14views this month
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Trust & integrity
| Signal | PentestGPT | agent-framework |
|---|---|---|
| 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 Jul 15, 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
- agent-framework
- Framework for building and deploying AI agents and multi-agent workflows
Stars
- PentestGPT
- 16k
- agent-framework
- 14k
Forks
- PentestGPT
- 2.7k
- agent-framework
- 2.3k
Open issues
- PentestGPT
- 81
- agent-framework
- 605
Language
- PentestGPT
- Python
- agent-framework
- Python
Adopt for
- PentestGPT
- PentestGPT is a Python-based automated penetration testing framework that uses large language models for security testing.
- 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, for educational and authorized security testing only, use at your own risk.
- agent-framework
- MIT
Last pushed
- PentestGPT
- Jul 14, 2026
- agent-framework
- Sep 18, 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
- 65d
- agent-framework
- 0d
Open issues (now)
- PentestGPT
- 81
- agent-framework
- 605
Stars delta
- PentestGPT
- +614 (30d)
- agent-framework
- +855 (30d)
Open issues delta
- PentestGPT
- +16 (30d)
- agent-framework
- -80 (30d)
Owner type
- PentestGPT
- User
- agent-framework
- Organization
Full report
- PentestGPT
- Trust report
- agent-framework
- Trust report
Choose PentestGPT if…
- 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 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 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 (microsoft/agent-framework) · observed Sep 20, 2026
- GitHub forks (microsoft/agent-framework) · observed Sep 20, 2026
- Last push (microsoft/agent-framework) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: PentestGPT 16k · agent-framework 14k (synced Sep 20, 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 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 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?
- 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 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 (15,514 vs 13,573). 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.