by ZacharyZcR · LLM Plugin · ★ 287
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SecGPT SecGPT is an open-source project inspired by AutoGPT, borrowing from its prompts and design patterns, but with significant code refactoring. As a solo developer project, we cannot guarantee the full quality of the code, but it has been extensively optimized and refactored in conjunction with GPT-4. We hope this will improve the overall code quality to some extent. Inheriting the philosophy of AutoGPT, the uniqueness of SecGPT lies in its more refined plugin functionality. SecGPT aims to make further contributions to network security by combining LLM, including penetration testing, red-blue confrontations, CTF competitions, and other aspects. How does SecGPT work? It aggregates existing plugin features and makes decisions through AI. Based on these decisions, it constructs basic behavior logic. Then, following this logic, it calls local plugin functions to attempt tasks such as website penetration, vulnerability scanning, code audit, and report writing. The update speed is slow, the author is reading and learning the source code of LangChain. The plugin is being written and tested, if you are interested, you can join our development.  is an open-source, cloud-native runtime for agentic AI. Secure, modular,
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SecGPT is A Test Project for a Network Security-oriented LLM Tool Emulating AutoGPT. It is categorized as a LLM Plugin with 287 GitHub stars.
SecGPT is primarily written in Python. It covers topics such as ai, autogpt, cybersecurity.
You can find installation instructions and usage details in the SecGPT GitHub repository at github.com/ZacharyZcR/SecGPT. The project has 287 stars and 77 forks, indicating an active community.
SecGPT is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
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