HexStrike AI vs PentestGPT
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
Lets AI agents drive about 150 security testing tools through an MCP server, for authorized pentesting.
Open source · MIT
AI agent that runs penetration tests and CTF challenges in stages, with human-in-the-loop legacy mode.
The short answer
Choose HexStrike AI if you need…
- Security professionals who want to script or speed up recon with an AI assistant
- Students practicing on CTF challenges or lab machines they own
- Researchers experimenting with how LLM agents use security tooling
- Developers who already run Kali-style tool setups and want an MCP bridge
Choose PentestGPT if you need…
- Security students working through CTF challenges
- Security professionals who want an AI-assisted pentest workflow on authorized targets
- Researchers studying LLM-driven penetration testing
- Users who already have Claude Code or Codex CLI set up
Side-by-side
| HexStrike AI | PentestGPT | |
|---|---|---|
| Type | AI model / agent | AI model / agent |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 13.3k | 16.2k |
| Setup difficulty | Advanced | Advanced |
| How you get it | Clone and build from source | Clone and build from source |
| Main language | Python | Python |
| Last code update | 3 months ago | 4 months ago |
What each one is
HexStrike AI
HexStrike AI is an MCP server that connects AI assistants such as Claude, GPT, and Copilot to a large set of existing cybersecurity tools, including scanners, subdomain finders, and password crackers. The README describes it as a way for an AI agent to run these tools and chain results together for penetration testing, vulnerability discovery, and security research. The project is owned by OTT Cybersecurity LLC and released under the MIT license.
PentestGPT
PentestGPT is a Python tool that uses large language models to help with security testing. In its main mode it runs an autonomous agent, driving Claude Code or Codex, through staged phases such as recon, exploit and walkthrough for CTF challenges, or asset discovery, vulnerability identification and report for penetration tests. An older interactive mode, pentestgpt-legacy, keeps a human in the loop and supports several LLM providers. It is published alongside a USENIX Security 2024 paper.
Best for
HexStrike AI
- Security professionals who want to script or speed up recon with an AI assistant
- Students practicing on CTF challenges or lab machines they own
- Researchers experimenting with how LLM agents use security tooling
- Developers who already run Kali-style tool setups and want an MCP bridge
PentestGPT
- Security students working through CTF challenges
- Security professionals who want an AI-assisted pentest workflow on authorized targets
- Researchers studying LLM-driven penetration testing
- Users who already have Claude Code or Codex CLI set up
Strengths
HexStrike AI
- Connects several mainstream AI clients to a broad set of established security tools via MCP
- Open-source under MIT, so the code can be read and modified
- Active project with a large star count and recent pushes
PentestGPT
- Multi-stage pipeline passes findings from one stage to the next
- Supports several LLM providers in legacy mode, including local Ollama models
- Sessions can be saved and resumed, and the project is MIT licensed
Not ideal for
HexStrike AI
- Anyone testing systems they do not own or have written permission to test, since the tools are offensive and the README does not address legal scope
- Beginners without Linux and security tool experience, because the setup assumes you can install and troubleshoup many external tools
- Teams needing a polished, supported product, since no release is tagged and the README is largely promotional
PentestGPT
- Anyone testing systems they do not have explicit permission to test, since it is built to attack targets
- Beginners with no security or command-line background, because the setup and results need expert review
- Teams needing a guaranteed, audited scanner, because agent output depends on the underlying model and may be wrong
Trade-offs
HexStrike AI
- Requires installing many external security tools separately, and the README does not fully explain each one
- Offensive tooling carries misuse risk and needs careful authorization and scoping by the user
- No tagged release, and some README claims such as tool counts and agent counts are not independently verified here
PentestGPT
- Autonomous mode depends on Claude Code or Codex CLI being installed and authenticated
- Requires an API key or paid account for the chosen model provider; costs are not described in the README
- Telemetry sends anonymous usage data to Langfuse by default, and users must opt out explicitly
Getting started
HexStrike AI
Clone the repository
git clone https://github.com/0x4m4/hexstrike-ai.gitCreate and activate a virtual environment
python3 -m venv hexstrike-env && source hexstrike-env/bin/activatePentestGPT
Clone the repository
git clone https://github.com/GreyDGL/PentestGPT.gitEnter the project folder
cd PentestGPTFrequently asked questions
What is the difference between HexStrike AI and PentestGPT?
HexStrike AI: Lets AI agents drive about 150 security testing tools through an MCP server, for authorized pentesting. PentestGPT: AI agent that runs penetration tests and CTF challenges in stages, with human-in-the-loop legacy mode. HexStrike AI suits security professionals who want to script or speed up recon with an ai assistant, while PentestGPT suits security students working through ctf challenges.
Are HexStrike AI and PentestGPT free?
HexStrike AI: Free and open source. PentestGPT: Free and open source.
Is HexStrike AI or PentestGPT more popular?
PentestGPT has more GitHub stars (16.2k) than HexStrike AI (13.3k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to HexStrike AI and PentestGPT?
Other options people compare them with include Nuclei, PentAGI, MCP for Blender, SuperAGI, Hermes Agent.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.