--- title: "agentscope vs PentestGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentscope-ai-agentscope-vs-greydgl-pentestgpt" tools: ["agentscope-ai-agentscope", "greydgl-pentestgpt"] --- # agentscope vs PentestGPT *GraphCanon updated Aug 17, 2026* ## Verdict Pick agentscope if agentscope is a Python-based development tool focused on creating transparent and trustworthy AI agents. It supports the creation of both single and multi-agent systems incorporating large language models into its design; 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. [agentscope](https://docs.agentscope.io/) reports 29k GitHub stars, 3.4k forks, and 354 open issues, last pushed Aug 14, 2026. [PentestGPT](https://github.com/GreyDGL/PentestGPT) has 15k stars, 2.6k forks, and 65 open issues, last pushed Jul 14, 2026. Figures are from public GitHub metadata via [agentscope's repository](https://github.com/agentscope-ai/agentscope) and [PentestGPT's repository](https://github.com/GreyDGL/PentestGPT). | | [agentscope](/tools/agentscope-ai-agentscope.md) | [PentestGPT](/tools/greydgl-pentestgpt.md) | | --- | --- | --- | | Tagline | Build and run agents you can see, understand and trust. | Automated Penetration Testing Agentic Framework Powered by Large Language Models | | Stars | 28,973 | 14,900 | | Forks | 3,367 | 2,604 | | Open issues | 354 | 65 | | Language | Python | Python | | Adopt for | agentscope is a Python-based development tool focused on creating transparent and trustworthy AI agents. It supports the creation of both single and multi-agent systems incorporating large language models into its design | PentestGPT specializes in automating parts of the penetration testing process through large language models, offering a unique approach to AI-assisted security assessments. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT License, which allows for free use, modification, and distribution provided that attribution is maintained and any warranties or liabilities are disclaimed. | | Categories | AI Agents, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentscope](/tools/agentscope-ai-agentscope.md) | [PentestGPT](/tools/greydgl-pentestgpt.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 2d | 33d | | Open issues (now) | 354 | 65 | | Stars delta | +1.0k (30d) | +597 (30d) | | Open issues delta | +70 (30d) | +3 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/agentscope-ai-agentscope/trust.md) | [trust report](/tools/greydgl-pentestgpt/trust.md) | ## Decision facts: agentscope - **Adopt for:** agentscope is a Python-based development tool focused on creating transparent and trustworthy AI agents. It supports the creation of both single and multi-agent systems incorporating large language models into its design ## 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. ## Choose when ### Choose agentscope if… - License: agentscope is Apache-2.0, PentestGPT is MIT. - Tags unique to agentscope: agent, chatbot, llm-agent, multi-agent. - - You need to develop AI agents where transparency and interpretability are critical. ### Choose PentestGPT if… - License: PentestGPT is MIT, agentscope is Apache-2.0. - Requirements: - Python environment; - Access to large language models as stipulated by PentestGPT's operational requirements. - Tags unique to PentestGPT: 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 agentscope - - If your project does not benefit from the transparency features offered by agentscope, and less emphasis is placed on interpretability and more on specialized machine learning tasks without a need ## 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'. ## Common questions ### What is the difference between agentscope and PentestGPT? agentscope: Build and run agents you can see, understand and trust.. PentestGPT: Automated Penetration Testing Agentic Framework Powered by Large Language Models. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentscope over PentestGPT? Choose agentscope over PentestGPT when License: agentscope is Apache-2.0, PentestGPT is MIT; Tags unique to agentscope: agent, chatbot, llm-agent, multi-agent; - You need to develop AI agents where transparency and interpretability are critical. ### When should I choose PentestGPT over agentscope? Choose PentestGPT over agentscope when License: PentestGPT is MIT, agentscope is Apache-2.0; Requirements: - Python environment; - Access to large language models as stipulated by PentestGPT's operational requirements; Tags unique to PentestGPT: 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 avoid agentscope? - If your project does not benefit from the transparency features offered by agentscope, and less emphasis is placed on interpretability and more on specialized machine learning tasks without a need ### 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'. ### Is agentscope or PentestGPT more popular on GitHub? agentscope has more GitHub stars (28,973 vs 14,900). Stars measure visibility, not whether either tool fits your constraints. ### Are agentscope and PentestGPT open source? Yes - both are open-source projects on GitHub (agentscope: Apache-2.0, PentestGPT: MIT). ### Where can I find alternatives to agentscope or PentestGPT? GraphCanon lists graph-backed alternatives at [agentscope alternatives](/tools/agentscope-ai-agentscope/alternatives) and [PentestGPT alternatives](/tools/greydgl-pentestgpt/alternatives) ([agentscope markdown twin](/tools/agentscope-ai-agentscope/alternatives.md), [PentestGPT markdown twin](/tools/greydgl-pentestgpt/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/agentscope-ai-agentscope-vs-greydgl-pentestgpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentscope or PentestGPT? agentscope: Very active. PentestGPT: Steady. 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 agentscope and PentestGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentscope trust report](/tools/agentscope-ai-agentscope/trust); [PentestGPT trust report](/tools/greydgl-pentestgpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agentscope-ai-agentscope`](/api/graphcanon/graph?tool=agentscope-ai-agentscope) - 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/_