PentestGPT
langcorn
PentestGPT | langcorn | |
---|---|---|
18 | 3 | |
6,361 | 818 | |
- | - | |
8.2 | 7.4 | |
13 days ago | 4 days ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
PentestGPT
- PentestGPT
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PentestGPT, a gpt-powered penetration testing tool, open source
👨💻 Source: https://github.com/GreyDGL/PentestGPT
- PentestGPT: GPT-Powered Penetration Testing
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April 2023
A GPT-empowered penetration testing tool (https://github.com/GreyDGL/PentestGPT)
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Fundamental LangChain Question
How you use it is up to you. There are hundreds of question answer clones with different data source adapters. Some projects that I found more interesting: https://github.com/GreyDGL/PentestGPT https://github.com/jina-ai/dev-gpt https://github.com/corca-ai/EVAL You can probably build something similar to smol developer with langchain too.
- Why are so many people vastly underestimating AI?
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Hackathon Ideas? Gen AI
Look up langchain. Some example projects. https://github.com/corca-ai/EVAL https://github.com/jina-ai/dev-gpt https://github.com/GreyDGL/PentestGPT https://blog.langchain.dev/origin-web-browser/
- GreyDGL/PentestGPT: A GPT-empowered penetration testing tool
langcorn
What are some alternatives?
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OSGPT - OSGPT is a powerful plugin designed to dynamically load documents from specified folders and create searchable vector databases. Not only does it offer a quick way to query from your documents, but it also allows you to execute CLI commands on the host system, be it Linux/Unix or Windows.
developer - the first library to let you embed a developer agent in your own app!
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trex - Enforce structured output from LLMs 100% of the time
deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai