PentestGPT VS langcorn

Compare PentestGPT vs langcorn and see what are their differences.

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PentestGPT langcorn
18 3
6,361 818
- -
8.2 7.4
13 days ago 4 days ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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

Posts with mentions or reviews of PentestGPT. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-02.

langcorn

Posts with mentions or reviews of langcorn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-18.

What are some alternatives?

When comparing PentestGPT and langcorn you can also consider the following projects:

llama.cpp - LLM inference in C/C++

ChainFury - 🦋 Production grade chaining engine behind TuneChat. Self host today!

ChatGLM2-6B - ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型

langchain-serve - ⚡ Langchain apps in production using Jina & FastAPI

deepdoctection - A Repo For Document AI

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!

langchain-cli - A Command Line Interface for LangChain 🦜️

vocode-python - 🤖 Build voice-based LLM agents. Modular + open source.

llm-api-starterkit - Beginner-friendly repository for launching your first LLM API with Python, LangChain and FastAPI, using local models or the OpenAI API.

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