--- title: "PentestGPT vs AutoGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/greydgl-pentestgpt-vs-significant-gravitas-autogpt" tools: ["greydgl-pentestgpt", "significant-gravitas-autogpt"] --- # PentestGPT vs AutoGPT Neutral, constraint-first comparison with live GitHub stats. | | [PentestGPT](/tools/greydgl-pentestgpt.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Tagline | Automated Penetration Testing Agentic Framework Powered by Large Language Models | Build, Deploy, and Run AI Agents | | Stars | 14,160 | 185,434 | | Forks | 2,457 | 46,123 | | Open issues | 68 | 470 | | Language | Python | Python | | Adopt for | PentestGPT is an advanced penetration testing framework powered by large language models (LLMs), designed to automate security assessments and maintain context across iterations. | AutoGPT is a platform for creating, deploying, and managing autonomous AI agents that automate complex workflows using Python. It supports self-hosting or cloud-hosted beta options. | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | Categories | AI Agents, LLM Frameworks | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [PentestGPT](/tools/greydgl-pentestgpt.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 31d | 0d | | Open issues (now) | 68 | 470 | | Owner type | User | Organization | | Security scan | Not scanned | No lockfile | | Full report | [trust report](/tools/greydgl-pentestgpt/trust.md) | [trust report](/tools/significant-gravitas-autogpt/trust.md) | **Typed relationship:** PentestGPT _(alternative)_ AutoGPT PentestGPT and AutoGPT are both AI-driven automation frameworks, but while AutoGPT focuses on general build, deploy, and run capabilities for agents, PentestGPT is tailored specifically towards penetration testing. ## Decision facts: PentestGPT - **Pricing:** freemium - PentestGPT is available under the MIT license, which permits use, modification, and distribution of the software for free. However, costs may arise from API fees or licensing third-party tools used in - **Requirements:** Min 4 GB RAM; - Requires Python version 3.12+ and the package manager `uv`.; - Must have a running instance of Claude Code CLI.; - Supports multiple large language models for enhanced functionality. - **Adopt for:** PentestGPT is an advanced penetration testing framework powered by large language models (LLMs), designed to automate security assessments and maintain context across iterations. ## Decision facts: AutoGPT - **Requirements:** Requires Docker; Requires significant minimum hardware (4+ cores CPU, 8GB RAM min., 16GB recommended).; Support for different operating system configurations including Linux, macOS, and Windows with WSL2. - **Adopt for:** AutoGPT is a platform for creating, deploying, and managing autonomous AI agents that automate complex workflows using Python. It supports self-hosting or cloud-hosted beta options. ## Choose when ### Choose PentestGPT if… - License: PentestGPT is MIT, AutoGPT is Other. - Pricing: PentestGPT is available under the MIT license, which permits use, modification, and distribution of the software for free. However, costs may arise from API fees or licensing third-party tools used in. - Requirements: Min 4 GB RAM; - Requires Python version 3.12+ and the package manager `uv`.; - Must have a running instance of Claude Code CLI.; - Supports multiple large language models for enhanced functionality.. - PentestGPT and AutoGPT are both AI-driven automation frameworks, but while AutoGPT focuses on general build, deploy, and run capabilities for agents, PentestGPT is tailored specifically towards penetration testing. - Tags unique to PentestGPT: llm, python, large-language-models, penetration-testing. - Also covers LLM Frameworks. - PentestGPT ships Docker support for self-hosted deployment. - - For conducting comprehensive security audits where human-led reviews are time-consuming or impractical. ### Choose AutoGPT if… - License: AutoGPT is Other, PentestGPT is MIT. - Requirements: Requires Docker; Requires significant minimum hardware (4+ cores CPU, 8GB RAM min., 16GB recommended).; Support for different operating system configurations including Linux, macOS, and Windows with WSL2.. - PentestGPT and AutoGPT are both AI-driven automation frameworks, but while AutoGPT focuses on general build, deploy, and run capabilities for agents, PentestGPT is tailored specifically towards penetration testing. - Tags unique to AutoGPT: agents, ai, artificial-intelligence, agentic-ai. - Also covers Inference & Serving. - When you need to automate complex workflows with continuous AI agents. ## When NOT to use PentestGPT - - When the specific security issues require specialized manual expertise or detailed forensic analysis that an LLM can't replicate accurately. - - For small-scale, low-risk assessments where traditional penetration testing tools would suffice without needing advanced AI support. - - In environments with strict regulatory compliance that might be incompatible with open-source solutions like PentestGPT. ## When NOT to use AutoGPT - If your hardware meets minimum but not recommended requirements (AutoGPT suggests 16GB RAM for optimal performance). - When cloud-hosting is mandatory due to lack of in-house technical support for self-hosting. - For users who prefer a fully managed service without the need for setting up Docker, Node.js, npm, and Git as required by AutoGPT's local setup process. - If you are working on projects with strict network restrictions that prevent configuring access using Docker. ## Common questions ### What is the difference between PentestGPT and AutoGPT? PentestGPT: Automated Penetration Testing Agentic Framework Powered by Large Language Models. AutoGPT: Build, Deploy, and Run AI Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose PentestGPT over AutoGPT? Choose PentestGPT over AutoGPT when License: PentestGPT is MIT, AutoGPT is Other; Pricing: PentestGPT is available under the MIT license, which permits use, modification, and distribution of the software for free. However, costs may arise from API fees or licensing third-party tools used in; Requirements: Min 4 GB RAM; - Requires Python version 3.12+ and the package manager `uv`.; - Must have a running instance of Claude Code CLI.; - Supports multiple large language models for enhanced functionality.; PentestGPT and AutoGPT are both AI-driven automation frameworks, but while AutoGPT focuses on general build, deploy, and run capabilities for agents, PentestGPT is tailored specifically towards penetration testing; Tags unique to PentestGPT: llm, python, large-language-models, penetration-testing; Also covers LLM Frameworks; PentestGPT ships Docker support for self-hosted deployment; - For conducting comprehensive security audits where human-led reviews are time-consuming or impractical. ### When should I choose AutoGPT over PentestGPT? Choose AutoGPT over PentestGPT when License: AutoGPT is Other, PentestGPT is MIT; Requirements: Requires Docker; Requires significant minimum hardware (4+ cores CPU, 8GB RAM min., 16GB recommended).; Support for different operating system configurations including Linux, macOS, and Windows with WSL2.; PentestGPT and AutoGPT are both AI-driven automation frameworks, but while AutoGPT focuses on general build, deploy, and run capabilities for agents, PentestGPT is tailored specifically towards penetration testing; Tags unique to AutoGPT: agents, ai, artificial-intelligence, agentic-ai; Also covers Inference & Serving; When you need to automate complex workflows with continuous AI agents. ### When should I avoid PentestGPT? - When the specific security issues require specialized manual expertise or detailed forensic analysis that an LLM can't replicate accurately. - For small-scale, low-risk assessments where traditional penetration testing tools would suffice without needing advanced AI support. - In environments with strict regulatory compliance that might be incompatible with open-source solutions like PentestGPT. ### When should I avoid AutoGPT? If your hardware meets minimum but not recommended requirements (AutoGPT suggests 16GB RAM for optimal performance). When cloud-hosting is mandatory due to lack of in-house technical support for self-hosting. For users who prefer a fully managed service without the need for setting up Docker, Node.js, npm, and Git as required by AutoGPT's local setup process. If you are working on projects with strict network restrictions that prevent configuring access using Docker. ### Is PentestGPT or AutoGPT more popular on GitHub? AutoGPT has more GitHub stars (185,434 vs 14,160). Stars measure visibility, not whether either tool fits your constraints. ### Are PentestGPT and AutoGPT open source? Yes - both are open-source projects on GitHub (PentestGPT: MIT, AutoGPT: Other). ### Where can I find alternatives to PentestGPT or AutoGPT? GraphCanon lists graph-backed alternatives at /tools/greydgl-pentestgpt/alternatives and /tools/significant-gravitas-autogpt/alternatives (/tools/greydgl-pentestgpt/alternatives.md, /tools/significant-gravitas-autogpt/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 /compare/greydgl-pentestgpt-vs-significant-gravitas-autogpt.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, PentestGPT or AutoGPT? PentestGPT: Steady. AutoGPT: 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 AutoGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: PentestGPT: /tools/greydgl-pentestgpt/trust; AutoGPT: /tools/significant-gravitas-autogpt/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/_