--- title: "PentestGPT vs agent-framework" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/greydgl-pentestgpt-vs-microsoft-agent-framework" tools: ["greydgl-pentestgpt", "microsoft-agent-framework"] --- # PentestGPT vs agent-framework *GraphCanon updated Aug 17, 2026* ## 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. [PentestGPT](https://github.com/GreyDGL/PentestGPT) reports 15k GitHub stars, 2.6k forks, and 65 open issues, last pushed Jul 14, 2026. [agent-framework](https://aka.ms/agent-framework) has 13k stars, 2.1k forks, and 685 open issues, last pushed Aug 10, 2026. Figures are from public GitHub metadata via [PentestGPT's repository](https://github.com/GreyDGL/PentestGPT) and [agent-framework's repository](https://github.com/microsoft/agent-framework). | | [PentestGPT](/tools/greydgl-pentestgpt.md) | [agent-framework](/tools/microsoft-agent-framework.md) | | --- | --- | --- | | Tagline | Automated Penetration Testing Agentic Framework Powered by Large Language Models | Framework for building and deploying AI agents and multi-agent workflows | | Stars | 14,900 | 12,718 | | Forks | 2,604 | 2,143 | | Open issues | 65 | 685 | | Language | Python | Python | | Adopt for | PentestGPT specializes in automating parts of the penetration testing process through large language models, offering a unique approach to AI-assisted security assessments. | The agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments. | | Persona | - | - | | Runtime | - | - | | License | MIT License, which allows for free use, modification, and distribution provided that attribution is maintained and any warranties or liabilities are disclaimed. | MIT | | Categories | AI Agents, LLM Frameworks | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [PentestGPT](/tools/greydgl-pentestgpt.md) | [agent-framework](/tools/microsoft-agent-framework.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 33d | 0d | | Open issues (now) | 65 | 685 | | Stars delta | +597 (30d) | Unknown | | Open issues delta | +3 (30d) | Unknown | | Owner type | User | Organization | | Full report | [trust report](/tools/greydgl-pentestgpt/trust.md) | [trust report](/tools/microsoft-agent-framework/trust.md) | ## Decision facts: PentestGPT - **Requirements:** - Python environment; - Access to large language models as stipulated by PentestGPT's operational requirements - **Adopt for:** PentestGPT specializes in automating parts of the penetration testing process through large language models, offering a unique approach to AI-assisted security assessments. - **License detail:** MIT License, which allows for free use, modification, and distribution provided that attribution is maintained and any warranties or liabilities are disclaimed. ## Decision facts: agent-framework - **Requirements:** Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages. - **Adopt for:** The agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments. ## Choose when ### 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. ### 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 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 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. ## 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](/tools/greydgl-pentestgpt/alternatives) and [agent-framework alternatives](/tools/microsoft-agent-framework/alternatives) ([PentestGPT markdown twin](/tools/greydgl-pentestgpt/alternatives.md), [agent-framework markdown twin](/tools/microsoft-agent-framework/alternatives.md)), 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](/compare/greydgl-pentestgpt-vs-microsoft-agent-framework.md) 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](/tools/greydgl-pentestgpt/trust); [agent-framework trust report](/tools/microsoft-agent-framework/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=greydgl-pentestgpt`](/api/graphcanon/graph?tool=greydgl-pentestgpt) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_