--- title: "PentestGPT vs HyperAgent" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/greydgl-pentestgpt-vs-hyperbrowserai-hyperagent" tools: ["greydgl-pentestgpt", "hyperbrowserai-hyperagent"] --- # PentestGPT vs HyperAgent *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 HyperAgent if hyperAgent automates browser tasks using Playwright and LLMs. [PentestGPT](https://github.com/GreyDGL/PentestGPT) reports 15k GitHub stars, 2.6k forks, and 65 open issues, last pushed Jul 14, 2026. [HyperAgent](https://www.hyperbrowser.ai/) has 1.5k stars, 195 forks, and 26 open issues, last pushed May 11, 2026. Figures are from public GitHub metadata via [PentestGPT's repository](https://github.com/GreyDGL/PentestGPT) and [HyperAgent's repository](https://github.com/hyperbrowserai/HyperAgent). | | [PentestGPT](/tools/greydgl-pentestgpt.md) | [HyperAgent](/tools/hyperbrowserai-hyperagent.md) | | --- | --- | --- | | Tagline | Automated Penetration Testing Agentic Framework Powered by Large Language Models | AI Browser Automation | | Stars | 14,900 | 1,525 | | Forks | 2,604 | 195 | | Open issues | 65 | 26 | | Language | Python | TypeScript | | 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. | HyperAgent automates browser tasks using Playwright and LLMs. | | 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. | Other | | Categories | AI Agents, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [PentestGPT](/tools/greydgl-pentestgpt.md) | [HyperAgent](/tools/hyperbrowserai-hyperagent.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Slowing (36%) | | Days since push | 33d | 92d | | Open issues (now) | 65 | 26 | | 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/hyperbrowserai-hyperagent/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: HyperAgent - **Adopt for:** HyperAgent automates browser tasks using Playwright and LLMs. ## Choose when ### Choose PentestGPT if… - PentestGPT is primarily Python; HyperAgent is TypeScript. - License: PentestGPT is MIT, HyperAgent is Other. - Requirements: - Python environment; - Access to large language models as stipulated by PentestGPT's operational requirements. - Tags unique to PentestGPT: large language models, 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. ### Choose HyperAgent if… - HyperAgent is primarily TypeScript; PentestGPT is Python. - License: HyperAgent is Other, PentestGPT is MIT. - Tags unique to HyperAgent: agent, ai, automation, chrome. - HyperAgent ships an MCP server manifest. - When you need to integrate advanced AI-driven decisions into your web automation workflows ## 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 HyperAgent - Avoid if the project does not require browser-based tasks or interactivity with websites - Do not use HyperAgent if you prefer native Python tools for browser automation, as it uses TypeScript ## Common questions ### What is the difference between PentestGPT and HyperAgent? PentestGPT: Automated Penetration Testing Agentic Framework Powered by Large Language Models. HyperAgent: AI Browser Automation. See the comparison table for live GitHub stats and shared categories. ### When should I choose PentestGPT over HyperAgent? Choose PentestGPT over HyperAgent when PentestGPT is primarily Python; HyperAgent is TypeScript; License: PentestGPT is MIT, HyperAgent is Other; Requirements: - Python environment; - Access to large language models as stipulated by PentestGPT's operational requirements; Tags unique to PentestGPT: large language models, 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 choose HyperAgent over PentestGPT? Choose HyperAgent over PentestGPT when HyperAgent is primarily TypeScript; PentestGPT is Python; License: HyperAgent is Other, PentestGPT is MIT; Tags unique to HyperAgent: agent, ai, automation, chrome; HyperAgent ships an MCP server manifest; When you need to integrate advanced AI-driven decisions into your web automation workflows. ### 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 HyperAgent? Avoid if the project does not require browser-based tasks or interactivity with websites Do not use HyperAgent if you prefer native Python tools for browser automation, as it uses TypeScript ### Is PentestGPT or HyperAgent more popular on GitHub? PentestGPT has more GitHub stars (14,900 vs 1,525). Stars measure visibility, not whether either tool fits your constraints. ### Are PentestGPT and HyperAgent open source? Yes - both are open-source projects on GitHub (PentestGPT: MIT, HyperAgent: Other). ### Where can I find alternatives to PentestGPT or HyperAgent? GraphCanon lists graph-backed alternatives at [PentestGPT alternatives](/tools/greydgl-pentestgpt/alternatives) and [HyperAgent alternatives](/tools/hyperbrowserai-hyperagent/alternatives) ([PentestGPT markdown twin](/tools/greydgl-pentestgpt/alternatives.md), [HyperAgent markdown twin](/tools/hyperbrowserai-hyperagent/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-hyperbrowserai-hyperagent.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, PentestGPT or HyperAgent? PentestGPT: Steady. HyperAgent: Slowing. 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 HyperAgent? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [PentestGPT trust report](/tools/greydgl-pentestgpt/trust); [HyperAgent trust report](/tools/hyperbrowserai-hyperagent/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/_